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AI in Mental Health Care—Opportunities and Risks Beyond Large Language Models | Synapse

March 14, 2026JAMA Psychiatry3 citations

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AI in Mental Health Care—Opportunities and Risks Beyond Large Language Models

LKLoran KnolRadboud University Nijmegen AMAndré F. MarquandRadboud University Nijmegen NFNita A. FarahanyDuke University

Key Points

This viewpoint aims to discuss the potential risks and management strategies of artificial intelligence in mental health care.
Analyzed current applications of AI in mental health care
Examined risk management strategies
Discussed implications for patients and clinicians
Identified key risks associated with using AI in clinical settings
Outlined benefits of effective risk management in mental health care
Highlighted opportunities for improved patient outcomes through AI

Abstract

This Viewpoint explores the risks associated with using artificial intelligence (AI) in mental health care and how successful risk management would allow both patients and clinicians to experience the benefits of AI in clinical care.

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Cite This Study

Knol et al. (Wed,) studied this question.

synapsesocial.com/papers/69b4fa6fb39f7826a300b36d https://doi.org/https://doi.org/10.1001/jamapsychiatry.2026.0032