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Assessing prognosis in depression:comparing perspectives of AI models,mental health professionals and the general public

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Family Medicine and Community Health 2024年第S1期12卷 34-42页

作者： Zohar Elyoseph Inbar Levkovich shiri shinan-altman Department of Psychology and Educational Counseling The Center for Psychobiological ResearchMax Stern Yezreel Valley CollegeYezreel ValleyIsrael Department of Brain Sciences Imperial College LondonLondonUK Faculty of Graduate Studies Oranim Academic CollegeTivonIsrael The Louis and Gabi Weisfeld School of Social Work Bar-Ilan UniversityRamat GanTel AvivIsrael

Background Artificial intelligence(AI)has rapidly permeated various sectors,including healthcare,highlighting its potential to facilitate mental health *** study explores the underexplored domain of AI’s role in evaluating prognosis and long-term outcomes in depressive disorders,offering insights into how AI large language models(LLMs)compare with human *** Using case vignettes,we conducted a comparative analysis involving different LLMs(ChatGPT-3.5,ChatGPT-4,Claude and Bard),mental health professionals(general practitioners,psychiatrists,clinical psychologists and mental health nurses),and the general public that reported *** evaluate the LLMs ability to generate prognosis,anticipated outcomes with and without professional intervention,and envisioned long-term positive and negative consequences for individuals with *** In most of the examined cases,the four LLMs consistently identified depression as the primary diagnosis and recommended a combined treatment of psychotherapy and antidepressant ***-3.5 exhibited a significantly pessimistic prognosis distinct from other LLMs,professionals and the ***-4,Claude and Bard aligned closely with mental health professionals and the general public perspectives,all of whom anticipated no improvement or worsening without professional *** long-term outcomes,ChatGPT 3.5,Claude and Bard consistently projected significantly fewer negative long-term consequences of treatment than *** This study underscores the potential of AI to complement the expertise of mental health professionals and promote a collaborative paradigm in mental *** observation that three of the four LLMs closely mirrored the anticipations of mental health experts in scenarios involving treatment underscores the technology’s prospective value in offering professional clinical *** pessimistic outlook presented by ChatGPT 3.5 is concerning

关键词： prognosis consequences offering

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