Reimagining psychiatric care with agentic AI: promise, challenges, and a roadmap forward
Переосмысление психиатрической помощи с помощью агентного ИИ: перспективы, вызовы и дальнейшая дорожная карта
2026-02-16
SCID: 54.1/m9pj4qzj
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agentic artificial intelligenceclinical decision supportpsychiatric careresponsible implementationtherapeutic alliance
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Abstract (AI)
Agentic artificial intelligence (AI) represents a pivotal shift in clinical decision support, moving beyond static tools by reasoning, adapting, and acting alongside clinicians. Psychiatry, grounded in subjective experience, trust, and longitudinal care, offers both an opportunity and a high-stakes testbed. Agentic systems may enhance documentation, personalize care, support continuous monitoring, and extend access, while raising risks around bias, explainability, privacy, and therapeutic alliance. In this Perspective, we (i) define psychiatry-specific agentic AI distinct from decision-support and fully autonomous systems; (ii) synthesize current evidence across studies; (iii) propose assistive, collaborative, and semi-autonomous roles; and (iv) outline a roadmap for responsible implementation.
Key Findings
1
Agentic AI is distinguished from static clinical decision-support and fully autonomous systems by its ability to reason, adapt, and act alongside clinicians.
2
Major risks include bias, limited explainability, privacy threats, and disruption of the therapeutic alliance.
3
Potential benefits include improved documentation, personalized treatment, continuous patient monitoring, and expanded access to psychiatric care.
4
Psychiatry is a promising but high-stakes setting for agentic AI because care depends on subjective experience, trust, and longitudinal relationships.
5
The paper proposes assistive, collaborative, and semi-autonomous roles and a roadmap for responsible implementation of agentic AI in psychiatry.
Research Object
Agentic artificial intelligence systems in psychiatric care
Research Subject
Their clinical roles, benefits, risks, and responsible implementation in relation to decision support, personalized care, monitoring, access, and the therapeutic alliance
Publication Details
Publication Date
2026-02-16
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