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This page is an AI-assisted Turkish summary of the study presented at the 26th World Congress of Psychiatry. The study belongs to the presenting authors; please refer to the original source when citing it.

WPA guidance on artificial intelligence and mobile health: global standards for safe implementation

Wpa guidelines on ai & mhealth: global standards for safe implementation

According to the World Psychiatric Association, artificial intelligence should support clinician-led care rather than replace clinical judgment, and safe implementation should be seen not as a barrier to innovation but as the framework that makes digital psychiatry trustworthy.

The presentation examines the opportunities for access, continuity of care, and service efficiency created by the rapid evolution of digital mental health from telepsychiatry and mobile applications toward passive sensing, clinical decision support, and artificial intelligence. It also addresses concerns about evidence quality, privacy, bias, transparency, accountability, equity, and the preservation of the therapeutic relationship arising as implementation outpaces clinical governance. It outlines the World Psychiatric Association’s (WPA) approach to safe implementation, emphasizing that randomized controlled trials are necessary but insufficient on their own: evidence must also encompass usability, implementation outcomes, local validation, ongoing monitoring, and assessment of real-world harms and inequalities. The core principles reviewed include person-centered and rights-based care; equity, safety, and privacy by design; transparency and trust; human oversight; fit-for-purpose evidence; interoperability; sustainability; and cultural and linguistic appropriateness. Practical applications of artificial intelligence are discussed in the areas of record-keeping, assessment support, patient education, monitoring, triage, clinical decision support, and quality improvement. The central recommendation is that artificial intelligence should assist and enhance clinician-led care rather than replace clinical judgment or routinely automate diagnosis, triage, and treatment. A practical adoption roadmap is proposed, beginning with clinical need and proceeding through risk classification, evidence and safety assessment, pilot implementation, monitoring, governance, and scaling up or discontinuation.

All WCP 2026 summaries