ArticleJMIR mental health2025
Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study.
Article in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Clinicians' Attitudes and Perceptions on the Adoption of AI in Mental Health Care: Scoping Review.Journal of medical Internet research · 2026Article
- Generative AI Use, Perceived Usefulness, Perceived Risk, and Physician Burnout and Fulfillment Among Chinese Physicians: Mixed Methods Multiregional Study.Journal of medical Internet research · 2026Article
- Towards Human-Centered Digital Health Interventions.The Psychiatric clinics of North America · 2026Review
- Review
- When physicians and AI work together, who is accountable? How to lay out medical liability.Nature · 2026Article
- Views of People With Psychosis About Algorithm-Based Relapse Prediction and Data Sharing: Qualitative Study.Journal of medical Internet research · 2026Article
- Artificial Intelligence-Driven Tools in Mental Health Service Delivery: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- AI-powered tools in family medicine: Bridging technology and practice.Journal of family medicine and primary care · 2026Article
- Technology-mediated screening interviews for youth mental health: Content validation, randomized controlled trial, and expert evaluation.PLOS digital health · 2026Article
- The doctor is not in, but the Chatbot is: Utah's experience regulating mental health AI.NPJ digital medicine · 2026Article
- Understanding psychiatrist readiness for AI: a study of access, self-efficacy, trust, and design expectations.BMC health services research · 2026Article
- Stakeholder Perspectives on Humanistic Implementation of Computer Perception in Health Care: Qualitative Study.JMIR mental health · 2026Article
- Navigating the artificial intelligence-informed patient: a cross-sectional study of physicians' perceptions and clinical practices.Frontiers in public health · 2026Article
- Physicians' attitudes and perceptions toward the integration of artificial intelligence into pediatric hematology-oncology in Saudi Arabia.Frontiers in medicine · 2026Article
- Physician Perspectives on the Impact of Artificial Intelligence on the Therapeutic Relationship in Mental Health Care: Qualitative Study.JMIR mental health · 2025Article
- Governing AI in Mental Health: 50-State Legislative Review.JMIR mental health · 2025Article
- Balancing risks and benefits: clinicians' perspectives on the use of generative AI chatbots in mental healthcare.Frontiers in digital health · 2025Article
- Triadic relations in healthcare: surveying physicians' perspectives on generative AI integration and its role on empathy, the placebo effect and patient care.Frontiers in psychology · 2025Article
- Psychiatrists' experiences and opinions of generative AI: An exploratory online mixed methods survey in Germany.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs artificial intelligence (AI) tools are integrated more widely in psychiatric medicine, it is important to consider the impact these tools will have on clinical practice.
objectiveThis study aimed to characterize physician perspectives on the potential impact AI tools will have in psychiatric medicine.
methodsWe interviewed 42 physicians (21 psychiatrists and 21 family medicine practitioners). These interviews used detailed clinical case scenarios involving the use of AI technologies in the evaluation, diagnosis, and treatment of psychiatric conditions. Interviews were transcribed and subsequently analyzed using qualitative analysis methods.
resultsPhysicians highlighted multiple potential benefits of AI tools, including potential support for optimizing pharmaceutical efficacy, reducing administrative burden, aiding shared decision-making, and increasing access to health services, and were optimistic about the long-term impact of these technologies. This optimism was tempered by concerns about potential near-term risks to both patients and themselves including misguiding clinical judgment, increasing clinical burden, introducing patient harms, and creating legal liability.
conclusionsOur results highlight the importance of considering specialist perspectives when deploying AI tools in psychiatric medicine.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.