Artificial Intelligence for Mental Health Diagnoses and Treatment Plans: A Protocol for Actors and Patients
1 other identifier
interventional
220
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Dec 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
December 12, 2023
CompletedFirst Submitted
Initial submission to the registry
April 10, 2024
CompletedFirst Posted
Study publicly available on registry
May 16, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedMay 16, 2024
November 1, 2023
1.1 years
April 10, 2024
May 14, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Percent agreement of the diagnosis that provide by the psychiatrist and the AI - SPs (actors) part
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
3 month
Percent agreement of the diagnosis that provide by the psychiatrist and the AI- Patients part
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.
5 month
Secondary Outcomes (2)
Percent agreement of the recommendations provided by the AI and the psychiatrists- SPs (actors) part
3 month
Percent agreement of the recommendations provided by the AI and by the psychiatrists - Patients part
5 month
Study Arms (3)
SP patients-actors
EXPERIMENTALThe actors (n=10) 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 (LIV) 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.
Patients
EXPERIMENTALThe patients (n=150) will be recruited for the study from patients who applied to the psychiatric clinic in Sheba, new patients, old patients and patients on the waiting list. In addition, patients from the various psychiatric departments and the psychiatric and general ER at the Sheba Medical Center - Tel Hashomer. In addition, a recruitment ad will be published on social networks.
Control group- patients
OTHERControl group (n=50) Patients who came to the ER at the hospital due to physical complaints, and no psychiatric history. They will be offered to participate in the study and be examined by the AI (LIV) and a psychiatrist while waiting for the ER physician. In addition, a recruitment ad will be published on social networks for patient with no psychiatric conditions.
Interventions
SP Actors employed by MesserMSR, the Israeli Center for Medical Simulation, trained to simulate symptoms of psychiatric illnesses.
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.
Control group (n=50) Patients who came to the ER at the hospital due to physical complaints, and no psychiatric history.
Eligibility Criteria
You may qualify if:
- 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
You may not qualify if:
- Patients participating in another study
- Patients under hospitalization order or court order
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Sheba Medical Center, Psychiatry Department
Ramat Gan, Israel
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Mark Weiser, M.D
Sheba Medical Center
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER GOV
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 10, 2024
First Posted
May 16, 2024
Study Start
December 12, 2023
Primary Completion
December 31, 2024
Study Completion
December 31, 2024
Last Updated
May 16, 2024
Record last verified: 2023-11