Case Study: ChatGPT Prompts for Diagnosis and Treatment of Treatment-Resistant Schizophrenia

In this blog post, we’re diving into a practical demonstration of how ChatGPT can be utilized for patient diagnosis. Throughout this exploration, I’ll be contrasting ChatGPT’s capabilities with what Health Connect Ai could generate under identical scenarios.

Our hypothetical case study is inspired by a publication from April 2023:

Galido P, Butala S, Chakerian M, et al. (April 26, 2023) A Case Study Demonstrating Applications of ChatGPT in the Clinical Management of Treatment-Resistant Schizophrenia. Cureus 15(4): e38166. doi:10.7759 / cureus.38166

The original study didn’t clarify whether ChatGPT 3.5 Turbo or 4.0 was used. Nonetheless, as we’re now equipped with the latest iteration, ChatGPT 4.0, it offers an opportune moment to reassess and see how the updated version fares with similar prompts.

It’s crucial to remember that the intent here isn’t to replace clinicians but to showcase ChatGPT as an adept assistant, enriched with extensive knowledge.

This post assumes familiarity with using ChatGPT and will focus on documenting and analyzing the prompts and responses generated by the AI.

A key reminder: Any information or suggestions provided by ChatGPT should undergo peer review before being applied in real patient scenarios

Our Example Patient

In our exploration of the capabilities of the latest ChatGPT version, I will revisit the symptoms outlined for the model patient from the original study.

This will provide a direct comparison and give us insights into how the updated version of ChatGPT interprets and responds to these established clinical scenarios.

Here are the relevant notes for our hypothetical patient:

A 22-year-old male with a six-year history of schizophrenia who was admitted to the inpatient psychiatric service with acute psychosis. He was admitted for unprovoked aggression secondary to paranoid ideation, delusions, and auditory hallucinations. This patient had multiple inpatient encounters due to refractory schizophrenia that was non-responsive to a variety of treatment regimens. Multiple medication failures resulted in a previously established combination treatment regimen involving clozapine, olanzapine, lithium, and valproate. Prior to this hospitalization, the patient was reported to have been non-adherent with his medication for at least four days, resulting in the decompensation of his TRS.

Initial Diagnosis

Now, let’s put ChatGPT to the test with a reduced set of symptoms. In this case we won’t provide information about the diagnosis, treatment, or medication.

The following prompt presents a condensed version of our model patient’s case, focusing on key symptoms.

The aim is to see how accurately ChatGPT can diagnose based on this limited information.

Here’s the prompt we used:

A 22-year-old male is presenting with delusional thinking, responding to internal stimuli, and unprovoked aggression. What is the diagnosis?

Following the submission of the symptoms to ChatGPT, the AI generated a response:

The symptoms you’ve described – delusional thinking, responding to internal stimuli, and unprovoked aggression in a 22-year-old male – are suggestive of a psychiatric disorder, but a definitive diagnosis requires a thorough evaluation by a mental health professional. These symptoms can be present in a variety of mental health conditions, including but not limited to:

  1. Schizophrenia: Characterized by delusions, hallucinations (which can be related to responding to internal stimuli), disorganized thinking, and sometimes aggressive behavior.

  2. Bipolar Disorder with Psychotic Features: In manic or mixed episodes, individuals may exhibit delusions, aggression, and respond to internal stimuli.

  3. Major Depressive Disorder with Psychotic Features: Severe depression can sometimes present with psychotic symptoms, including delusions.

  4. Substance-Induced Psychotic Disorder: Substance abuse (including alcohol, prescription medications, and illegal drugs) can lead to psychotic symptoms and aggression.

  5. Personality Disorders: Certain personality disorders, like borderline personality disorder or antisocial personality disorder, can sometimes present with aggressive behavior and transient psychotic symptoms.

  6. Other Psychotic Disorders: There are other conditions in the psychotic spectrum that could present similarly.

It’s important to note that mental health diagnoses are complex and rely on a comprehensive assessment, including a detailed history, mental status examination, and often collateral information. Factors like the individual’s personal and family medical history, substance use history, and overall functioning are essential in making an accurate diagnosis. Additionally, some medical conditions can present with psychiatric symptoms, so a medical evaluation is also important.

If someone is experiencing these symptoms, they should seek evaluation and treatment from a mental health professional as soon as possible. Early intervention is crucial for better outcomes in most psychiatric conditions.

The output from ChatGPT not only identified schizophrenia as a potential diagnosis but also suggested several other conditions for consideration.

This level of detailed analysis and differential diagnosis represents a notable improvement over the findings in the original study where only a basic diagnosis was provided.

As well as ChatGPT, we also have access to a proprietary SAAS product called Health Connect AI.

Health Connect AI is an enhanced AI model with medical diagnostic, treatment, and knowledge access capabilities. Unlike ChatGPT, its inputs are not used for ongoing training, and the solution has been built with patient privacy in mind.

In this post, we will pose the same questions to Health Connect AI. Its enhanced training should produce better results than the standard version of ChatGPT.

For a fair and informative comparison, we are inputting the same symptom description into Health Connect AI.

Here’s what Health Connect AI produced:


  • Delusional thinking
  • Responding to internal stimuli
  • Unprovoked aggression

Possible Diagnosis

  1. Schizophrenia

    • Conduct a thorough psychiatric evaluation to assess the presence of other symptoms like hallucinations, disorganized speech, negative symptoms, and impaired social or occupational functioning.
    • Rule out other medical conditions or substance use that may mimic the symptoms.
    • Consider brain imaging, such as an MRI, to evaluate for structural abnormalities.
  2. Bipolar Disorder with Psychotic Features

    • Evaluate the patient’s mood symptoms, including periods of elevated or irritable mood, decreased need for sleep, and grandiosity.
    • Assess for the presence of psychotic symptoms during manic or depressive episodes.
    • Consider a detailed family history of mood disorders.
  3. Substance-Induced Psychosis

    • Inquire about the use of substances, such as marijuana, hallucinogens, or stimulants, which can induce psychotic symptoms.
    • Conduct a urine toxicology screen or blood tests to identify any substances in the patient’s system.
    • Monitor for the resolution of symptoms after discontinuing substance use.
  4. Delusional Disorder

    • Evaluate the content of the patient’s delusions, including any fixed false beliefs not attributable to another psychiatric disorder.
    • Rule out other psychotic disorders and assess for functional impairment.

Other Diagnosis

  • Brief Psychotic Disorder
  • Schizoaffective Disorder
  • Psychotic Depression
  • Personality Disorders (e.g., Paranoid Personality Disorder)
  • Neurological Conditions (e.g., Temporal Lobe Epilepsy)
  • Medical Conditions (e.g., Brain Tumor, Autoimmune Encephalitis)


In comparing the outputs from ChatGPT and Health Connect AI, several key differences and potential benefits of the enhanced Health Connect AI software emerge:

  1. Depth of Clinical Guidance:

    • ChatGPT provides a broad differential diagnosis encompassing various psychiatric conditions. It emphasizes the need for a comprehensive evaluation by a mental health professional, considering factors like personal and family medical history, substance use, and overall functioning.
    • Health Connect AI, in contrast, not only suggests possible diagnoses but also delves into specific evaluation steps for each condition. This includes recommendations for psychiatric evaluation, laboratory tests, and the use of standardized diagnostic criteria. This detailed guidance could be particularly beneficial for clinicians seeking a more structured approach to diagnosis.
  2. Specificity and Actionability:

    • Health Connect AI offers a more actionable plan for each diagnosis, including specific assessments and tests. This level of detail can guide clinicians in the next steps of patient care, making it a practical tool in clinical settings.
  3. Inclusion of Additional Diagnoses:

    • Health Connect AI extends the differential diagnosis to include conditions like Temporal Lobe Epilepsy with psychotic features, PTSD with dissociative symptoms, and Substance-Induced Delirium, providing a broader perspective on potential psychiatric and neurological conditions.
  4. Educational Value:

    • While both tools emphasize the importance of a thorough assessment and peer review, Health Connect AI’s structured approach to each potential diagnosis could serve as an educational resource for clinicians, enhancing their understanding of the diagnostic process in psychiatry.
  5. Patient Safety and Ethical Considerations:

    • Both outputs prioritize patient safety and the necessity of professional evaluation. This aligns with ethical standards in healthcare, ensuring that AI tools are used as adjuncts rather than replacements for clinical judgment.

Overall, while ChatGPT offers a broad, insightful overview suitable for initial considerations.

Health Connect AI appears to provide a more detailed, step-by-step approach to diagnosis, which could be particularly advantageous for clinicians requiring precise guidance in complex cases.

Expanding the output

To ensure we had everything covered before continuing, we also asked ChatGPT to consider any other conditions that could cause these symptoms.

What are other medical conditions that might cause these patient’s symptoms?

The response from ChatGPT included many things that were missed in the initial prompt:

The symptoms of delusional thinking, responding to internal stimuli, and unprovoked aggression can indeed be manifestations of various medical conditions, not just psychiatric disorders. It’s important to consider a broad range of differential diagnoses, including:

  1. Neurological Disorders: Conditions like brain tumors, epilepsy (especially temporal lobe epilepsy), stroke, and neurodegenerative diseases (such as Alzheimer’s disease or Huntington’s disease) can present with psychiatric symptoms, including delusions and aggression.

  2. Infections: Central nervous system infections like meningitis, encephalitis, HIV/AIDS, syphilis (neurosyphilis), and prion diseases (like Creutzfeldt-Jakob disease) can lead to significant changes in behavior and mental status.

  3. Endocrine Disorders: Thyroid disorders (such as hyperthyroidism), adrenal disorders (like Cushing’s syndrome or Addison’s disease), and parathyroid disorders can cause psychiatric symptoms. These are due to the critical role of hormones in regulating mood and cognition.

  4. Metabolic and Electrolyte Imbalances: Severe imbalances in electrolytes (like sodium, calcium, and glucose) can lead to delirium, which may include delusions and aggressive behavior.

  5. Substance Abuse or Withdrawal: Intoxication with or withdrawal from substances like alcohol, drugs (stimulants, hallucinogens, or depressants), or even prescription medications can cause or exacerbate psychiatric symptoms.

  6. Autoimmune Disorders: Conditions such as lupus (systemic lupus erythematosus) or multiple sclerosis can have neuropsychiatric manifestations, including psychosis and aggression.

  7. Vitamin Deficiencies: Deficiencies in certain vitamins, particularly B vitamins (like B12 and thiamine), can lead to significant neurological and psychiatric symptoms.

  8. Traumatic Brain Injury: A history of head injury can lead to changes in behavior, mood, and cognitive function, sometimes manifesting as psychotic symptoms or aggression.

  9. Toxic Exposures: Exposure to heavy metals (like lead or mercury) or other toxins can impact mental health.

  10. Paraneoplastic Syndromes: Some cancers can produce substances that affect the brain, leading to various neurological and psychiatric symptoms.

Given the wide range of potential causes, it’s crucial for individuals experiencing these symptoms to undergo a thorough medical and psychiatric evaluation. This typically includes a detailed history, physical examination, neurological examination, laboratory tests, and sometimes neuroimaging or other diagnostic procedures to rule out or confirm underlying conditions. Treatment would then be tailored based on the specific underlying cause.

Making an Assessment Plan

As we progress further in our exploration of AI-assisted medical diagnostics, we now turn to a crucial aspect of clinical practice: Developing an assessment plan.

Having established a range of potential diagnoses using both ChatGPT and Health Connect AI, we can now leverage ChatGPT’s capabilities to construct an assessment strategy.

We asked ChatGPT:

How should we access this patient?

And the response was:

Assessing a patient presenting with delusional thinking, responding to internal stimuli, and unprovoked aggression requires a systematic and thorough approach. This evaluation typically involves several key components:

  1. Comprehensive Medical and Psychiatric History: This includes gathering information about the patient’s past medical history, psychiatric history, family history of medical and psychiatric conditions, medication history (including over-the-counter drugs and supplements), substance use history, and any recent changes in health or behavior.

  2. Mental Status Examination: This is a crucial part of the psychiatric assessment. It includes evaluating the patient’s appearance, behavior, speech, mood, affect, thought process, thought content (including delusions or hallucinations), perceptual disturbances, cognition (including orientation, attention, memory, and higher executive functions), and insight/judgment.

  3. Physical and Neurological Examination: A thorough physical exam, including a neurological assessment, can help identify any underlying medical conditions that might contribute to psychiatric symptoms.

  4. Laboratory Tests and Imaging: Based on the clinical evaluation, certain tests may be warranted. These can include:

    • Blood Tests: Complete blood count, electrolyte panel, thyroid function tests, liver function tests, renal function tests, blood glucose levels, and possibly vitamin levels (like B12 and folate), HIV, and syphilis serology.
    • Urine Tests: Drug screening to check for substance abuse.
    • Imaging Studies: Brain imaging (like CT or MRI) may be necessary if there is suspicion of a neurological disorder.
  5. Collateral Information: Gathering information from family, friends, or other healthcare providers can provide additional insights into the patient’s condition and behavior.

  6. Risk Assessment: Assessing the risk of harm to self or others is crucial, especially given the presence of unprovoked aggression. This would guide decisions regarding the need for hospitalization or other immediate interventions.

  7. Differential Diagnosis: Consideration of various psychiatric and medical conditions that can present with these symptoms. The differential diagnosis would be guided by the findings from the history, examination, and initial investigations.

  8. Referral to Specialists: If necessary, referrals to neurologists, endocrinologists, or other specialists may be required for further evaluation and management.

  9. Psychosocial Evaluation: Understanding the patient’s living situation, support system, stressors, and coping mechanisms is important in planning treatment and support.

  10. Development of a Treatment Plan: Based on the assessment, a treatment plan which may include pharmacotherapy, psychotherapy, lifestyle modifications, and coordination with other healthcare services should be formulated.

This comprehensive approach ensures that the patient receives a thorough evaluation, leading to an accurate diagnosis and effective treatment plan. Remember, in cases of acute aggression or risk of harm, ensuring the safety of the patient and others is the immediate priority.

Continuing our comparative analysis, we once again asked Health Connect AI how it would assess the same set of symptoms:

Patient Assessment Plan: Delusional Thinking, Responding to Internal Stimuli, and Unprovoked Aggression

To thoroughly evaluate a 22-year-old male presenting with delusional thinking, responding to internal stimuli, and unprovoked aggression, it is crucial to consider a wide range of medical conditions that can manifest with these symptoms. While keeping in mind the possibility of rare or unusual conditions, I propose the following comprehensive assessment plan:

  1. Detailed Patient History: Begin by conducting a thorough interview with the patient to gather detailed information about their medical history, including any previous psychiatric conditions or episodes, substance abuse, family history of mental health disorders, recent traumatic experiences, and any medications or substances currently being used.

  2. Physical Examination: Perform a comprehensive physical examination to assess the patient’s overall health. Pay particular attention to neurological and endocrine examinations, looking for any abnormalities or signs of physical illness that may be contributing to the symptoms.

  3. Lab Tests: Order relevant laboratory tests to rule out underlying medical conditions that can present with psychiatric symptoms, including:

    • Complete Blood Count (CBC) and Comprehensive Metabolic Panel (CMP): These tests can help identify any abnormalities in blood cell counts, electrolyte balance, liver or kidney function, which may indicate an underlying medical condition.

    • Thyroid Function Tests: Evaluate thyroid function through measures of thyroid-stimulating hormone (TSH), free thyroxine (T4), and triiodothyronine (T3), as thyroid dysfunction can contribute to psychiatric symptoms.

    • Toxicology Screening: Consider conducting a toxicology screen to rule out substance-induced psychotic symptoms or the presence of illicit substances or medications with potential psychiatric side effects.

    • Inflammatory Markers: Assess levels of inflammatory markers such as C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) to rule out autoimmune or inflammatory conditions that may affect the central nervous system.

    • Neuroimaging: Depending on the clinical presentation and initial assessment, consider neuroimaging studies (e.g., MRI or CT scan) to assess for organic brain pathologies such as tumors or structural abnormalities.

  4. Psychiatric Evaluation: Conduct a comprehensive psychiatric evaluation, including formal assessment tools, to evaluate the patient’s mental health status, severity of symptoms, and presence of any specific psychiatric disorders. Consider utilizing standardized diagnostic criteria such as the DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, 5th edition) to guide the assessment.

  5. Collateral Information: Obtain collateral information from family members, close friends, or caregivers to gain additional insights into the patient’s behavior, cognition, and any potential precipitating factors.

  6. Consultation and Collaboration: Engage in collaboration and consultation with a multidisciplinary team, including psychiatrists, neurologists, and other relevant specialists, if necessary, to discuss the case and gather further insights.

  7. Follow-up and Monitoring: Establish a plan for ongoing monitoring and follow-up to track the patient’s symptoms, treatment response, and any potential changes in their clinical presentation.

By following this comprehensive assessment plan, we can systematically evaluate the patient’s symptoms, ruling out any organic causes or potential underlying medical conditions that may contribute to their symptoms. This approach will help ensure that we consider a broad range of possibilities and avoid overlooking any rare or unusual conditions that may be contributing to the patient’s presentation.


In comparing the assessment plans generated by ChatGPT and Health Connect AI, several differences and potential advantages of Health Connect AI become evident:

  1. Depth and Detail of Assessment:

    • ChatGPT provides a comprehensive list of assessment steps including medical and psychiatric history, mental status examination, physical and neurological examination, laboratory tests and imaging, collateral information, risk assessment, differential diagnosis, referrals to specialists, psychosocial evaluation, and development of a treatment plan.
    • Health Connect AI, in its assessment plan, emphasizes a similarly detailed approach but goes further in specifying particular tests and examinations, such as thyroid function tests, toxicology screening, and inflammatory markers. It also mentions neuroimaging, which is critical in ruling out organic brain pathologies.
  2. Specificity in Diagnostic Approach:

    • Health Connect AI’s plan is notably specific in its approach to laboratory tests and physical examination, suggesting a more targeted diagnostic process. This level of specificity can be crucial in identifying underlying conditions that may present with psychiatric symptoms.
  3. Collaborative and Multidisciplinary Focus:

    • Both systems emphasize the importance of collateral information and multidisciplinary collaboration. However, Health Connect AI explicitly mentions the need for consultation with a team including psychiatrists and neurologists, highlighting the importance of a collaborative approach in complex cases.
  4. Follow-up and Monitoring:

    • Health Connect AI includes a clear plan for ongoing monitoring and follow-up, which is crucial in managing psychiatric conditions and ensuring that the treatment plan remains effective and relevant as the patient’s condition evolves.
  5. Consideration of Rare Conditions:

    • Health Connect AI’s approach appears to be thorough in considering not just common psychiatric conditions but also rare or unusual conditions, thereby ensuring a more exhaustive evaluation.
  6. Utilization of Standardized Diagnostic Criteria:

    • Both systems mention the use of standardized criteria like DSM-5 for psychiatric evaluation, but Health Connect AI explicitly discusses the use of formal assessment tools, which can enhance the accuracy of psychiatric diagnoses.

In summary, while ChatGPT provides a broad and comprehensive assessment plan, Health Connect AI demonstrates a more specific and detailed approach, particularly in its recommendations for physical examinations, laboratory tests, and the emphasis on multidisciplinary collaboration and follow-up.

This level of detail and specificity could be particularly beneficial in real-world clinical settings where precise diagnostic processes are critical for effective patient care.

Provided an enhanced set of symptoms

As we delve deeper into the capabilities of AI in medical diagnostics, we now enhance our exploration with a more detailed symptom presentation.

The more comprehensive information, including additional background details, is crucial in challenging the AI systems to identify the more complex condition of treatment-resistant schizophrenia.

We asked ChatGPT:

A 22-year-old male with six-year history of schizophrenia was admitted to the inpatient psychiatric service after demonstrating signs of delusional thinking, responding to internal stimuli, and unprovoked aggression. Multiple hospitalizations and medication failures resulting in previously established combination treatment regimen involving Clozapine, Olanzapine, Lithium, and Valproate. What is the primary diagnosis of the patient?

And ChatGPT responded with:

The primary diagnosis of the 22-year-old male described in your scenario is schizophrenia. The key indicators supporting this diagnosis are a six-year history of the condition, symptoms of delusional thinking, responding to internal stimuli (such as hallucinations or delusions), and unprovoked aggression. These symptoms are characteristic of schizophrenia, a chronic mental disorder that affects a person’s ability to think, feel, and behave clearly.

The patient’s history of multiple hospitalizations and medication failures, leading to a treatment regimen involving Clozapine, Olanzapine, Lithium, and Valproate, further supports this diagnosis. Clozapine and Olanzapine are antipsychotic medications typically used in the treatment of schizophrenia, particularly when other medications have not been effective. Lithium and Valproate are mood stabilizers, which can be used to manage mood symptoms that sometimes occur in schizophrenia.

It’s important to note that schizophrenia is a complex disorder that requires a comprehensive treatment approach, including medications, psychotherapy, and support services. The treatment plan is often tailored to the individual’s needs and may require adjustments over time.

Regrettably, in its initial attempts, ChatGPT did not recognize the likelihood of the schizophrenia being treatment-resistant.

Despite posing the question repeatedly, the responses remained consistent.

It was only after a slight modification to the prompt—specifically, omitting the word ‘primary’ from the final sentence that ChatGPT accurately identified the condition as a treatment-resistant form and produced the following output:

The diagnosis for the patient, based on the provided information, is schizophrenia. This diagnosis is supported by the patient’s six-year history of the disorder and the symptoms described, such as delusional thinking, responding to internal stimuli (like hearing voices or hallucinations), and unprovoked aggression. These are common symptoms associated with schizophrenia.

Schizophrenia is a chronic and severe mental disorder that affects how a person thinks, feels, and behaves. People with schizophrenia may seem like they have lost touch with reality, which can be distressing for both the individual and their family. It typically manifests in late adolescence or early adulthood and is characterized by episodes of psychosis, marked by disturbed thinking, perception, and behavior.

The treatment regimen mentioned—Clozapine, Olanzapine, Lithium, and Valproate—indicates that this is a complex case. Clozapine and Olanzapine are antipsychotic medications used primarily to treat schizophrenia, particularly when other medications have not been effective. Lithium and Valproate are mood stabilizers, which can be used in schizophrenia to manage mood symptoms or aggression. The combination of these medications suggests that the patient has a treatment-resistant form of schizophrenia, as well as possibly co-occurring mood symptoms or disorders.

It’s important to note that a detailed and thorough assessment by a mental health professional is essential for an accurate diagnosis and appropriate treatment plan. This response is based on the limited information provided and should not replace professional medical advice.

Regrettably, ChatGPT tends to interpret prompts in a literal manner, and clinicians need to keep this in mind when using the service. The inclusion of the word ‘primary’ significantly altered the outcome of the results.

Developing a Treatment Plan

In the next segment, we will delve into ChatGPT’s capabilities of proposing a treatment plan for our complex patient case.

This exercise is aimed at assessing how well the AI can suggest a comprehensive and clinically appropriate management strategy based on the given patient information.

Here’s the prompt we posed and ChatGPT’s subsequent response.

What is the appropriate treatment plan for this patient?

And the response was:

Developing an appropriate treatment plan for a patient with schizophrenia, especially one with a history of medication failures and complex symptoms like the 22-year-old male described, requires a multifaceted approach. Here is a general overview:

  1. Pharmacological Treatment:

    • Clozapine: Often considered for treatment-resistant schizophrenia. Its use requires careful monitoring due to potential side effects like agranulocytosis.
    • Olanzapine: An atypical antipsychotic, useful in managing positive symptoms of schizophrenia.
    • Lithium and Valproate: These mood stabilizers might be used if there are co-occurring mood disturbances or aggressive behaviors.

    Given the history of multiple medication failures, the pharmacological approach must be closely monitored and adjusted as needed. Regular blood tests (especially for Clozapine), assessment of efficacy, and monitoring for side effects are crucial.

  2. Psychotherapy:

    • Cognitive Behavioral Therapy (CBT): Can help in managing symptoms, reducing the severity of delusions and hallucinations, and improving coping skills.
    • Family Therapy: To educate and involve family members in the care plan, which can improve outcomes and support.
  3. Social Skills Training and Rehabilitation:

    • Aimed at improving communication, interpersonal skills, and daily living activities, which are often impacted in schizophrenia.
  4. Regular Monitoring and Follow-up:

    • Regular psychiatric evaluations to monitor the effectiveness of treatment and make adjustments.
    • Monitoring for metabolic side effects of antipsychotic medications, like weight gain, diabetes, and lipid abnormalities.
  5. Crisis Management:

    • Plans for managing acute episodes or crises, including potential hospitalization if necessary.
  6. Lifestyle Modifications:

    • Encouraging a healthy lifestyle with regular exercise, a balanced diet, and sleep hygiene.
    • Avoiding substances like alcohol and recreational drugs, which can exacerbate symptoms.
  7. Supportive Services:

    • Vocational training, job coaching, and support groups.
  8. Legal and Ethical Considerations:

    • Addressing any legal issues related to the patient’s ability to consent to treatment and understanding their rights.

It’s essential to remember that each patient’s needs are unique, and the treatment plan should be tailored to the individual’s specific symptoms, health status, and life circumstances. A multidisciplinary team approach involving psychiatrists, psychologists, social workers, and possibly other health care professionals is often beneficial in managing complex cases of schizophrenia. Regular reassessment and adjustments in the treatment plan are necessary for optimal outcomes.

Having explored ChatGPT’s approach to formulating a treatment plan, we now pose the same question to Health Connect AI.

Its response is as follows:

Treatment Options for Treatment-Resistant Schizophrenia

Treatment-resistant schizophrenia refers to a condition in which individuals diagnosed with schizophrenia do not experience significant improvement in their symptoms despite adequate trials of multiple antipsychotic medications. Managing treatment-resistant schizophrenia can be challenging, and treatment plans often involve a combination of approaches. Here are some of the current treatment options available:

  1. Clozapine: Clozapine is the gold standard medication for treatment-resistant schizophrenia. It is an atypical antipsychotic that works by targeting multiple neurotransmitter receptors in the brain. Clozapine has been shown to be effective in reducing positive and negative symptoms of schizophrenia in individuals who have not responded well to other antipsychotic medications. However, due to its potential for causing agranulocytosis (a decrease in the white blood cell count), regular blood monitoring is necessary.

  2. Electroconvulsive Therapy (ECT): ECT involves the use of electric currents to induce controlled seizures in the brain, which can have a positive effect on symptoms of schizophrenia. ECT is typically considered when other treatment options, including medication, have been ineffective. It is often used for individuals with treatment-resistant schizophrenia who have severe and persistent symptoms.

  3. Psychosocial Interventions: Psychosocial interventions aim to improve functioning and quality of life in individuals with treatment-resistant schizophrenia. These interventions may include cognitive-behavioral therapy (CBT), social skills training, family therapy, and supported employment or education programs. These therapies focus on enhancing coping skills, improving social interactions, and fostering independence.

Recommended Treatment Option and Plan

Considering the available treatment options, the selected recommendation for treatment-resistant schizophrenia would be to initiate clozapine therapy along with integrated psychosocial interventions. Here’s a detailed treatment plan:

  1. Medication: Start the patient on clozapine, beginning with a low dose and gradually titrating it up to a therapeutic range under close monitoring. The dosage should be adjusted based on the patient’s response and tolerability. Regular blood monitoring, including white blood cell count and absolute neutrophil count, should be conducted to detect any signs of agranulocytosis.

  2. Psychosocial Interventions: Implement a comprehensive psychosocial treatment plan. This may involve individualized cognitive-behavioral therapy (CBT) to address symptom management, psychoeducation for the patient and their family members, social skills training to enhance social interactions, and supported employment or education programs to promote independence and improve overall functioning.

  3. Regular Monitoring: Conduct regular follow-up appointments to assess the patient’s response to treatment, adjust medication dosage if necessary, and evaluate the effectiveness of psychosocial interventions. During these appointments, monitor for any potential side effects of clozapine and address any concerns or difficulties the patient may be experiencing.

Risks and Benefits

It is essential to consider the risks and benefits of the recommended treatment option:

  • Risks of Clozapine: The main risk associated with clozapine is the potential for agranulocytosis, which requires regular blood monitoring. Other possible side effects include sedation, weight gain, metabolic changes, hypersalivation, and constipation. However, the benefits of clozapine in managing treatment-resistant schizophrenia generally outweigh these risks.

  • Benefits of Clozapine: Clozapine has demonstrated superior efficacy compared to other antipsychotics in treatment-resistant schizophrenia. It has been shown to improve both positive and negative symptoms, reduce the risk of hospitalization, and enhance overall quality of life. Integrated psychosocial interventions support the medication’s effectiveness in promoting functional recovery, social integration, and improved adaptive functioning.

Please note that this recommendation is based on current medical knowledge and guidelines. It is essential for you to conduct your own research, review relevant peer-reviewed literature, and consult with colleagues or specialists to confirm the validity and applicability of these suggestions within your specific clinical context.

Remember, the information provided here is for educational purposes and should not replace professional medical advice.


In comparing the treatment plan suggestions from ChatGPT and Health Connect AI for a patient with treatment-resistant schizophrenia, we observe distinct approaches and recommendations:

  1. ChatGPT’s Multifaceted Approach:

    • ChatGPT proposes a comprehensive treatment plan that includes a combination of pharmacological treatment (Clozapine, Olanzapine, Lithium, Valproate), psychotherapy (CBT, family therapy), social skills training, regular monitoring and follow-up, crisis management, lifestyle modifications, supportive services, and legal and ethical considerations.
    • This approach is holistic, addressing not only the medical but also the social and personal aspects of the patient’s life, which are crucial in schizophrenia management.
  2. Health Connect AI’s Focused Strategy:

    • Health Connect AI’s plan centers around Clozapine as the primary medication for treatment-resistant schizophrenia, emphasizing its efficacy and the necessity of regular blood monitoring.
    • It also recommends Electroconvulsive Therapy (ECT) and various psychosocial interventions (CBT, social skills training, family therapy, supported employment) as part of the treatment.
    • The plan is more specific in its pharmacological approach, targeting the most effective treatment for resistant cases while integrating supportive psychosocial treatments.
  3. ECT as an Alternative Treatment:

    • A notable distinction in Health Connect AI’s plan is the inclusion of ECT as a treatment option. ECT is often considered for severe, treatment-resistant cases, representing an advanced treatment approach not mentioned by ChatGPT.
  4. Detailed Medication Management:

    • Health Connect AI provides a detailed management plan for Clozapine, including dosage adjustment and regular monitoring, which is crucial given the drug’s potential side effects.
  5. Risk and Benefit Analysis:

    • Health Connect AI explicitly weighs the risks and benefits of Clozapine, providing a balanced view of the treatment decision. This aspect is critical for informed decision-making in clinical practice.
  6. Psychoeducation and Psychosocial Support:

    • Both ChatGPT and Health Connect AI recognize the importance of psychoeducation and psychosocial interventions. However, Health Connect AI seems to integrate these more tightly with the medication management plan.
  7. Patient Monitoring and Follow-Up:

    • Regular follow-up and monitoring are emphasized by both, although Health Connect AI appears to link this more directly to the medication management (Clozapine) and psychosocial interventions.

In summary, while ChatGPT offers a broad and inclusive treatment strategy covering various aspects of schizophrenia management, Health Connect AI presents a more streamlined approach with a strong focus on Clozapine, its management, and adjunctive treatments like ECT.

The choice between these strategies would depend on the patient’s specific clinical profile, treatment history, and the clinician’s judgment, highlighting the importance of individualized care in mental health treatment.


In the next part of our exploration, we shift our focus to determining the most effective medication for our patient with treatment-resistant schizophrenia.

This step is crucial, as selecting the right medication can significantly impact the patient’s recovery and quality of life.

To glean insights from ChatGPT, we presented a prompt specifically asking for the best medication choice in this complex case:

What would be the best medication regimen for this patient?

And the response was:

Determining the "best" medication regimen for a patient with schizophrenia, particularly one with a history of multiple hospitalizations, medication failures, and complex symptoms like aggression and delusional thinking, requires careful consideration and often involves trial and error. Based on the information provided, the patient is already on a combination of Clozapine, Olanzapine, Lithium, and Valproate. Here’s a brief overview of these medications and considerations for optimizing the regimen:

  1. Clozapine:

    • Considered the most effective antipsychotic for treatment-resistant schizophrenia.
    • Requires regular blood monitoring due to the risk of agranulocytosis (a potentially life-threatening decrease in white blood cells).
    • Can also cause sedation, weight gain, and metabolic changes.
  2. Olanzapine:

    • Another atypical antipsychotic effective for the positive and negative symptoms of schizophrenia.
    • Also associated with weight gain and metabolic issues.
  3. Lithium:

    • Typically used as a mood stabilizer, it can be beneficial if there are co-occurring mood symptoms or to manage aggression.
    • Requires monitoring of lithium levels, kidney function, and thyroid function.
  4. Valproate:

    • Another mood stabilizer, it’s used for mood symptoms and can also help with impulse control and aggression.
    • Monitoring for liver function and blood counts is necessary.

Given the complexity of the case, the following considerations are essential in optimizing the medication regimen:

  • Comprehensive Evaluation: A thorough re-evaluation of the diagnosis and symptoms. Sometimes, other disorders, like mood disorders or substance use, might coexist and require different treatments.

  • Monitoring and Managing Side Effects: Regular monitoring for side effects, especially metabolic ones, given the use of Clozapine and Olanzapine. Weight management and monitoring for diabetes are crucial.

  • Adjusting Doses: Fine-tuning the doses of each medication to maximize benefits and minimize side effects. Sometimes, lower doses of multiple medications can be more effective and better tolerated than higher doses of fewer drugs.

  • Considering Other Medications: If the current regimen is not effective, considering other antipsychotics or adjunctive medications might be necessary. Options like aripiprazole, risperidone, or quetiapine could be considered, depending on the symptom profile.

  • Psychotherapy and Support: Medication is often more effective when combined with psychotherapy and social support.

  • Patient Education and Involvement: Ensuring that the patient understands their medications, the importance of adherence, and the need for regular monitoring.

It’s crucial to have ongoing collaboration between the patient, their family (if appropriate), and the healthcare team to determine the most effective and tolerable medication regimen. Regular follow-ups and adjustments based on the patient’s response and side effects are key components of managing schizophrenia, especially in complex cases.

Now, having seen ChatGPT’s recommendation for the best medication in this challenging case, we turn to Health Connect AI for its perspective:

Treatment-Resistant Schizophrenia

Pharmaceutical Treatment Options

  1. Clozapine (Clozaril): Clozapine is considered the gold standard for treatment-resistant schizophrenia. It is an atypical antipsychotic medication that works by blocking dopamine and serotonin receptors in the brain. Clozapine has been shown to be effective in reducing both positive and negative symptoms of schizophrenia, including hallucinations and delusions. It is particularly beneficial for patients who have not responded well to other antipsychotic medications. However, clozapine is associated with potential side effects such as agranulocytosis (a decrease in white blood cells), weight gain, sedation, and increased risk of seizures. Regular blood tests are required to monitor for these adverse effects.

  2. Olanzapine (Zyprexa): Olanzapine is another atypical antipsychotic medication commonly used in the treatment of schizophrenia. It acts by blocking dopamine and serotonin receptors in the brain. Olanzapine can alleviate both positive and negative symptoms of schizophrenia. It is generally well-tolerated but can cause side effects such as weight gain, sedation, and metabolic changes, including increased blood sugar levels and lipid abnormalities.

  3. Risperidone (Risperdal): Risperidone is an atypical antipsychotic medication that works by blocking dopamine and serotonin receptors in the brain. It is effective in reducing positive symptoms of schizophrenia, including hallucinations and delusions. Risperidone is generally well-tolerated, but common side effects include extrapyramidal symptoms (such as tremors, muscle stiffness, and restlessness), sedation, and weight gain.

  4. Paliperidone (Invega): Paliperidone is an atypical antipsychotic medication that is structurally similar to risperidone. It works by blocking dopamine and serotonin receptors in the brain. Paliperidone is effective in reducing positive symptoms of schizophrenia. It is available in an extended-release formulation, which allows for once-daily dosing. Common side effects include extrapyramidal symptoms, weight gain, and sedation.

  5. Aripiprazole (Abilify): Aripiprazole is an atypical antipsychotic medication that acts as a partial dopamine agonist. It modulates dopamine activity in the brain, aiming to rebalance its levels. Aripiprazole is effective in reducing both positive and negative symptoms of schizophrenia. It is generally well-tolerated, with fewer metabolic side effects compared to other antipsychotics. However, it can cause restlessness and akathisia (a feeling of inner restlessness) in some individuals.

Considerations and Drawbacks:

  • While antipsychotic medications can be highly effective in managing symptoms of schizophrenia, including treatment-resistant cases, it is important to note that individual response and tolerability may vary. Finding the most suitable medication often requires a trial-and-error approach.

  • Side effects associated with antipsychotic medications, such as weight gain, sedation, and metabolic changes, should be carefully monitored. Regular follow-up appointments and ongoing assessment are necessary to manage any adverse effects.

  • Clozapine, while highly effective, requires close monitoring due to the risk of agranulocytosis. Therefore, regular blood tests, typically weekly or biweekly, are necessary to ensure patient safety.

  • Some antipsychotic medications may interact with other medications a patient is taking or have contraindications with certain medical conditions. Close collaboration with a pharmacist or healthcare provider is crucial to minimize potential drug interactions or contraindications.

Herbal and Naturopathic Remedies:

  • It is important to note that herbal and naturopathic remedies have limited scientific evidence supporting their efficacy in treating treatment-resistant schizophrenia. Consultation with a naturopath or herbalist is recommended to explore specific remedies and their potential benefits.

  • Some commonly used herbal supplements in the treatment of mental health conditions include St. John’s Wort, passionflower, and lavender. However, their effectiveness in treating schizophrenia is uncertain, and they may have interactions with other medications.

  • It is crucial for patients to inform their healthcare provider about any herbal or naturopathic remedies they are using to ensure safe and coordinated care.

Please note that this information is intended for general educational purposes only and should not replace personalized medical advice from a qualified healthcare professional.


In comparing the medication treatment recommendations from ChatGPT and Health Connect AI for a patient with treatment-resistant schizophrenia, there are several notable points of difference:

  1. Range of Medication Options:

    • ChatGPT suggests a regimen including Clozapine, Olanzapine, Lithium, and Valproate, with an emphasis on the need for careful monitoring and potential adjustments. This approach is comprehensive, covering a range of medication options suitable for complex cases of schizophrenia.
    • Health Connect AI provides a detailed overview of several atypical antipsychotic medications, including Clozapine, Olanzapine, Risperidone, Paliperidone, and Aripiprazole. It focuses on the individual characteristics and side effects of each medication, offering a broader spectrum of options.
  2. Focus on Clozapine:

    • Both ChatGPT and Health Connect AI identify Clozapine as a key medication for treatment-resistant schizophrenia, highlighting its effectiveness and the necessity for regular blood monitoring due to the risk of agranulocytosis.
  3. Additional Medication Options:

    • Health Connect AI extends the list of potential medications to include Risperidone, Paliperidone, and Aripiprazole, each with its own profile of benefits and side effects. This inclusion provides a more exhaustive range of options for treatment-resistant cases.
  4. Side Effects and Monitoring:

    • Both tools emphasize the importance of monitoring for side effects, particularly metabolic changes associated with antipsychotics like Clozapine and Olanzapine. Health Connect AI additionally discusses the side effects and considerations for Risperidone, Paliperidone, and Aripiprazole.
  5. Considerations for Treatment Adjustment:

    • ChatGPT stresses the importance of a comprehensive evaluation and the potential need for adjusting doses, considering other medications, and combining treatment with psychotherapy and support.
    • Health Connect AI focuses more on individualizing the choice of antipsychotic based on patient response and tolerability, as well as the necessity of managing side effects and drug interactions.
  6. Herbal and Naturopathic Remedies:

    • Health Connect AI uniquely mentions herbal and naturopathic remedies, although it cautions about their limited scientific evidence and potential interactions with other medications. This inclusion reflects an openness to complementary therapies, albeit with a strong emphasis on safety and evidence-based practice.
  7. Patient Education and Collaboration:

    • Both AI tools underscore the importance of patient education, involvement in treatment decisions, and ongoing collaboration with healthcare providers.

In summary, while ChatGPT offers a focused and integrative approach, Health Connect AI provides a more expansive review of available antipsychotic medications, including a detailed discussion of their individual properties, side effects, and monitoring requirements.

The inclusion of additional treatment options and a note on complementary therapies in Health Connect AI’s response may offer a broader perspective for clinicians considering various treatment avenues for treatment-resistant schizophrenia.

Side Effects

Finally, we need to turn to an equally important aspect of treatment: understanding the side effects of the recommended medications.

Knowing the potential side effects is crucial for managing patient expectations, monitoring for complications, and making informed choices about treatment options.

In this section, we will utilize ChatGPT to gather detailed information about the side effects associated with the medications suggested for our patient with treatment-resistant schizophrenia.

This will not only test ChatGPT’s knowledge base but also its ability to provide critical information that is essential for safe and effective patient care.

Let’s see how ChatGPT outlines the side effects of the medications previously recommended:

What are the short term and long term adverse effects of the patients medications?

And the response was:

The medications prescribed for the patient – Clozapine, Olanzapine, Lithium, and Valproate – each have their own set of potential short-term and long-term adverse effects. Here’s an overview of the adverse effects associated with each medication:

  1. Clozapine:

    • Short-term effects: Sedation, hypersalivation, dizziness, constipation, and tachycardia. Clozapine can also cause orthostatic hypotension (drop in blood pressure upon standing).
    • Long-term effects: Agranulocytosis (a severe decrease in white blood cells) requiring regular blood monitoring, weight gain, metabolic syndrome (including increased cholesterol and diabetes risk), myocarditis (inflammation of the heart muscle), and seizures at higher doses.
  2. Olanzapine:

    • Short-term effects: Sedation, weight gain, increased appetite, mild anticholinergic effects (such as dry mouth or constipation), and akathisia (a restless feeling).
    • Long-term effects: Significant weight gain, metabolic syndrome, increased risk of diabetes, hyperlipidemia (high cholesterol), and possibly tardive dyskinesia (a disorder that involves involuntary movements).
  3. Lithium:

    • Short-term effects: Increased thirst and urination, nausea, diarrhea, tremors, and cognitive dulling.
    • Long-term effects: Risk of hypothyroidism, hyperparathyroidism (affecting calcium levels), kidney dysfunction (including decreased kidney function), and a slight risk of decreased white blood cell count.
  4. Valproate:

    • Short-term effects: Gastrointestinal disturbances (like nausea and vomiting), tremor, sedation, and weight gain.
    • Long-term effects: Liver toxicity (more common in young children), hair loss, polycystic ovary syndrome (PCOS) in women, weight gain, and potential for teratogenic effects (birth defects if used in pregnancy).

It is important for any patient taking these medications to be closely monitored by their healthcare provider. Regular blood tests are necessary to check for agranulocytosis with Clozapine, lithium levels and kidney and thyroid function with Lithium, and liver function tests with Valproate. Regular monitoring of metabolic parameters (like weight, blood sugar, and lipid levels) is also essential, particularly with Clozapine and Olanzapine. The healthcare provider will balance the potential benefits of these medications in controlling the symptoms of schizophrenia against these side effects, and adjustments to the treatment plan may be necessary based on the individual’s response and tolerability.

Having explored ChatGPT’s insights on the side effects of the recommended medications, we now bring Health Connect AI into this critical aspect of treatment evaluation.

For a balanced comparison, we will ask Health Connect AI to assess the side effects of the same drugs as suggested by ChatGPT for our patient with treatment-resistant schizophrenia.

By aligning the focus of both AI tools on the same medications, we aim to provide a comprehensive understanding of each tool’s capability in delivering crucial pharmacological information.

Let’s review the side effects information provided by Health Connect AI and compare it with the insights from ChatGPT.

Here are the potential side effects of the medications you mentioned:

  1. Clozapine:
  • Common side effects: Sedation, drowsiness, dizziness, drooling, constipation, weight gain, increased heart rate.
  • Serious side effects: Agranulocytosis (a decrease in white blood cells), myocarditis (inflammation of the heart muscle), seizures, metabolic changes (such as increased blood sugar and cholesterol levels).
  1. Olanzapine:
  • Common side effects: Sedation, weight gain, increased appetite, dry mouth, constipation, dizziness, tremors.
  • Serious side effects: Neuroleptic malignant syndrome (a severe reaction that can include high fever, muscle stiffness, and confusion), metabolic changes (such as increased blood sugar and cholesterol levels), tardive dyskinesia (involuntary movements), orthostatic hypotension (a drop in blood pressure upon standing).
  1. Lithium:
  • Common side effects: Hand tremors, increased thirst, increased urination, weight gain.
  • Serious side effects: Toxicity (symptoms may include vomiting, diarrhea, slurred speech, tremors), kidney problems, thyroid problems, cardiac arrhythmias (irregular heart rhythms).
  1. Valproate:
  • Common side effects: Nausea, vomiting, gastrointestinal upset, weight gain.
  • Serious side effects: Hepatotoxicity (liver damage), pancreatitis, thrombocytopenia (a decrease in platelet count), birth defects (if used during pregnancy), increased ammonia levels.

It’s important to note that this is not an exhaustive list of side effects, and individual responses can vary. It’s crucial to discuss these potential side effects with your patient before starting any medication and closely monitor their progress during treatment.

Remember to conduct your own research, consult peer-reviewed resources, and refer to prescribing guidelines to confirm the accuracy of the information provided here. Additionally, individual dosages and measurements may vary, so it’s essential to review the specific recommendations for each medication.


Comparing the responses from ChatGPT and Health Connect AI regarding the side effects of medications prescribed for treatment-resistant schizophrenia reveals both similarities and differences in their approach and detail:

  1. Detail and Specificity:

    • ChatGPT provides a comprehensive overview of both short-term and long-term side effects for each medication (Clozapine, Olanzapine, Lithium, Valproate), with a focus on clinical significance and the need for monitoring.
    • Health Connect AI also outlines common and serious side effects for these medications. The response is detailed, emphasizing the importance of monitoring and patient education.
  2. Similarities in Side Effect Profiles:

    • Both AI tools identify key side effects associated with each medication, such as sedation and weight gain with Clozapine and Olanzapine, and the need for regular blood monitoring with Clozapine.
    • Serious side effects like agranulocytosis with Clozapine and metabolic changes with Olanzapine are highlighted by both, reflecting their alignment with current medical knowledge.
  3. Emphasis on Regular Monitoring and Patient Education:

    • ChatGPT and Health Connect AI both stress the importance of regular monitoring for side effects and the need for patient education regarding these potential risks.
  4. Additional Details Provided by Health Connect AI:

    • Health Connect AI includes specific serious side effects such as neuroleptic malignant syndrome with Olanzapine and toxicity with Lithium, offering a slightly more detailed perspective on the potential risks associated with these medications.
  5. Comprehensive vs. Specific Focus:

    • ChatGPT’s response is comprehensive, covering a broad range of side effects and their implications for patient care, including legal and ethical considerations.
    • Health Connect AI focuses more specifically on the pharmacological aspects, providing a detailed enumeration of side effects and their clinical implications.
  6. Patient-Centric Approach:

    • Both responses underscore the importance of tailoring information to individual patients, considering variability in responses to medications, and the critical role of healthcare professionals in managing these medications.
  7. Cautionary Note on Research and Collaboration:

    • Health Connect AI specifically reminds users to conduct their own research and consult peer-reviewed resources, highlighting the importance of staying updated with current medical guidelines and individualized patient care.

In summary, while both ChatGPT and Health Connect AI provide thorough and clinically relevant information on the side effects of the mentioned medications, Health Connect AI offers slightly more detailed descriptions, particularly regarding serious side effects.

Both tools emphasize the importance of regular monitoring, patient education, and individualized care, reflecting their utility as supportive tools in clinical decision-making.


Our exploration of AI tools, specifically ChatGPT and Health Connect AI, in a clinical context has illuminated several key benefits of integrating artificial intelligence into medical decision-making.

Complementing Clinical Judgment: Both ChatGPT and Health Connect AI demonstrate the potential of AI to provide comprehensive and detailed information on diagnosis, treatment plans, and medication side effects.

This information can serve as a valuable adjunct to the expertise of healthcare professionals, augmenting their decision-making process with a wide array of data and perspectives.

Time Efficiency and Accessibility: The use of AI in medical settings can significantly enhance time efficiency, providing quick access to vast amounts of information that would otherwise require extensive research.

This accessibility to information can be particularly beneficial in fast-paced clinical environments.

Importance of Accurate Inputs: As our exploration has shown, the quality of the output from AI tools is heavily dependent on the accuracy and specificity of the input provided.

Precise and detailed prompts lead to more targeted and useful responses, highlighting the importance of clear and thorough communication when interacting with AI systems.

Necessity of Peer Review and Professional Oversight: It is crucial to emphasize that AI-generated recommendations and information should not be used in isolation.

All AI outputs, including those from advanced tools like ChatGPT and Health Connect AI, should undergo peer review and be critically evaluated by healthcare professionals.

AI should be viewed as a supportive tool, not a replacement for the nuanced judgment and expertise of medical practitioners.

AI as a Supportive Tool: The integration of AI into healthcare represents a complementary tool rather than a substitute for human expertise.

Its ability to process and analyze large volumes of information can support clinicians in providing personalized, evidence-based care to their patients.

In conclusion, the potential of AI in healthcare is vast and promising.

As AI technology continues to evolve, it will undoubtedly become an increasingly valuable asset in clinical settings.

However, it is essential to use these tools responsibly, ensuring that they are integrated into the healthcare process in a way that enhances, rather than replaces, the critical role of the healthcare professional.

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