[AI in mental healthcare: hope or hype?]

Artificial Intelligence (AI) holds promise for addressing significant challenges in mental healthcare, such as workforce shortages, waiting lists, and the need for personalized diagnostics and treatments. However, current high expectations contrast with the complexities revealed by research on clinical implementations. This paper critically examines two clinical applications of AI in mental healthcare: clinical decision support and mental health chatbots. AI-driven decision support tools, despite their capacity to predict treatment outcomes, face ethical and practical challenges, including fairness concerns, limited outcome measurability, and patient perspectives often overlooked during development. Similarly, mental health chatbots, while enhancing accessibility and supporting therapeutic processes, raise concerns regarding patient autonomy, accountability, and safety. Increasing cases of AI chatbot misuseleading toharmful consequences highlight the need for robust ethical guidelines and rigorous validation before clinical implementation. AI's integration in psychiatry thus requires careful consideration of ethical implications, patient-centered design, and recognition of AI's limitations to ensure improvements genuinely enhance patient care.

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PubMed
Published
2025-05-22
Primary Topic
Digital Mental Health Interventions
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article
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article

[AI in mental healthcare: hope or hype?]

Edwin van Dellen, Katherine Bassil
PubMed
Digital Mental Health Interventions
article

[AI in mental healthcare: hope or hype?]

Edwin van Dellen, Katherine Bassil
article en

Abstract

Artificial Intelligence (AI) holds promise for addressing significant challenges in mental healthcare, such as workforce shortages, waiting lists, and the need for personalized diagnostics and treatments. However, current high expectations contrast with the complexities revealed by research on clinical implementations. This paper critically examines two clinical applications of AI in mental healthcare: clinical decision support and mental health chatbots. AI-driven decision support tools, despite their capacity to predict treatment outcomes, face ethical and practical challenges, including fairness concerns, limited outcome measurability, and patient perspectives often overlooked during development. Similarly, mental health chatbots, while enhancing accessibility and supporting therapeutic processes, raise concerns regarding patient autonomy, accountability, and safety. Increasing cases of AI chatbot misuseleading toharmful consequences highlight the need for robust ethical guidelines and rigorous validation before clinical implementation. AI's integration in psychiatry thus requires careful consideration of ethical implications, patient-centered design, and recognition of AI's limitations to ensure improvements genuinely enhance patient care.

PubMedVol. 169
Leidsche Rijn Julius Health Centers (NL), Phoenix Contact (United States) (US)
Digital Mental Health Interventions
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[AI in mental healthcare: hope or hype?] — Edwin van Dellen, Katherine Bassil · PubMed (2025) | TGRS Research Map | TGRS