Mental Health Diagnosis
Conditions
Keywords
Artificial intelligence, Mental health diagnosis, Medical technology
Brief summary
Artificial intelligence (AI) is becoming prevalent in modern medicine and psychiatry. AI is based on a wide variety of computer algorithms classified under machine learning (ML). The purpose of the present study is to evaluate the potential for mental health diagnosis using AI. In the first part of the study, the AI will conduct an interview with standardized patients \[SP\] (actors) presenting a psychiatric illness. The AI will present a differential diagnosis and treatment plan. Immediately afterward, the actors will be interviewed by a board-certified psychiatrist, who will also give a differential diagnosis and a treatment plan. The results of the AI and psychiatrist will be compared. In the second part of the study, AI will examine patients coming for consultation by a psychiatrist in the inpatient units, outpatient units, or in the emergency room (ER) at Sheba Medical center. The AI results will be compered to the psychiatrist diagnosis.
Detailed description
Procedure: In the firs part of the study, The AI will conduct an interview with standardized SP patients (actors) presenting a psychiatric illness. The actors will be trained in one of 5 scenarios: depression, anxiety, PTSD with cannabis abuse, psychosis, and control patients with no diagnosis. Each scenario will have 2 levels of severity. The actors will present demographic and medical backgrounds, symptoms and signs, including disorders of thought and affect. based on the interview, the AI will present a differential diagnosis and treatment plan. Immediately afterward, the actors will be interviewed by a board-certified psychiatrist, who will also give a differential diagnosis and a treatment plan. The results of the AI and psychiatrist will be compared. In the second part of the study, AI will examine patients patients treated in the Division of Psychiatry, patients who applied for treatment in the psychiatric clinic but are not yet treated there, and patients treated in the psychiatric emergency room (ER) in Sheba Medical center. In additional, a recruitment ad will be published in the media and on social networks, to include patients who will come in specifically to participate in the study. The patient will give informed consent and will be interviewed by AI. The interview will be done either digitally or will use voice-to-text and text-to-voice technology that will allow the patient to speak with the computer instead of typing questions into the computer. Future studies, not included in the current proposal, will use voice analysis, face recognition, and computerized emotion recognition as part of AI. Participants: * Actors SPs (n=10), each time employed by MSR- the Israeli Center for Medical Simulation, trained to simulate symptoms of psychiatric illnesses. * Board-certified Psychiatrists from the Drora and Pinchas Zachai Division of Psychiatry in the Sheba Medical Center. * Patients (n=150) examined in the psychiatric division and emergency room (ER) of Sheba. Or patient that recruited from the media. * Control group (n=50) Patients who came to the ER at the hospital due to physical problems, and no psychiatric history. They will be offered while waiting for the doctor to participate in the study and be examined by the AI and a psychiatrist. Outcome: The primary outcome of the study will be a comparison of the interviews, differential diagnoses, and recommendations for treatment assigned by the AI with those assigned by the board-certified psychiatrist. The rates of agreement will be the outcome of interest.
Interventions
DIAGNOSTIC_TESTSP patients-actors
SP Actors employed by MesserMSR, the Israeli Center for Medical Simulation, trained to simulate symptoms of psychiatric illnesses.
DIAGNOSTIC_TESTPatients
Patients (n=150) examined in the psychiatric division and emergency room (ER) of Sheba Medical center. Or people who applied following an advertisement on social networks.
DIAGNOSTIC_TESTControl group- patients
Control group (n=50) Patients who came to the ER at the hospital due to physical complaints, and no psychiatric history.
Sponsors
Sheba Medical Center
Study design
Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
For the SPs part: * Actors SPs employed by MSR- the Israeli Center for Medical Simulation, trained to simulate symptoms of psychiatric illnesses. * Over the age of 18 * Sign an informed consent For the patient part: * Patients arriving for intake at the psychiatric clinic, the various psychiatric departments and the ER at the Sheba Medical Center. * Patients over the age of 18 * Sign an informed consent
Exclusion criteria
* Patients participating in another study * Patients under hospitalization order or court order
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Percent agreement of the diagnosis that provide by the psychiatrist and the AI - SPs (actors) part | 3 month | The accuracy of diagnosis of the AI and of the psychiatrist will be compared to the gold standard as defined by the training that the actors received. This will be quantified according to if the AI or psychiatrist diagnosis was categorized in the appropriate group: Anxiety disorders, Depressive disorders, Schizophrenia spectrum and other psychotic disorders and Trauma and stressor related disorders |
| Percent agreement of the diagnosis that provide by the psychiatrist and the AI- Patients part | 5 month | The psychiatrist and the AI will both interview the patient and will present a diagnosis. The psychiatrist will be considered as the gold standard, and the AI diagnosis will be compared to those given by the psychiatrist. This will be quantified according to if the AI defines the diagnosis in its appropriate group: Anxiety disorders, Depressive disorders, Schizophrenia spectrum and other psychotic disorders and Trauma and stressor related disorders. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Percent agreement of the recommendations provided by the AI and the psychiatrists- SPs (actors) part | 3 month | 1. For biological treatment divided into groups: anti-depressive medication, Electroconvulsive therapy \[ECT\]/ketamine, anti-psychotics, mood stabilizers and anxiolytics. 2. Psychological treatments: Cognitive behavioral therapy \[CBT\], dynamic and supportive psychotherapy. The accuracy of the recommended course of treatment given by the AI and by the psychiatrist will be compared to the gold standard as defined by the training that the SPs received. |
| Percent agreement of the recommendations provided by the AI and by the psychiatrists - Patients part | 5 month | 1. For biological treatment divided into groups: anti-depressive medication, ECT/ketamine, anti-psychotics, mood stabilizers and anxiolytics. 2. Psychological treatments: CBT, dynamic and supportive psychotherapy. The psychiatrist will be considered as the gold standard, and the AI recommendations of treatment will be compared to those given by the psychiatrist. |
Countries
Israel
Contacts
Primary ContactMark Weiser, M.D
Backup ContactHadasa Afgin, B.A
Outcome results
None listed