ArticleJournal of medical ethics2023
Evidence, ethics and the promise of artificial intelligence in psychiatry.
Article in Journal of medical ethics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.
What it found
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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.
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Who cites it
43 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- ONRAMP-AI-VRAR: an operational protocol for ethics and governance of AI-enabled immersive psychotherapy.BMC psychiatry · 2025Pooled it
- Tackling algorithmic bias and promoting transparency in health datasets: the STANDING Together consensus recommendations.The Lancet. Digital health · 2025Pooled it
- The ethical requirement of explainability for AI-DSS in healthcare: a systematic review of reasons.BMC medical ethics · 2024Pooled it
- Liability and Standard of Care in AI-Driven Psychiatric Practice: European Viewpoint.Journal of medical Internet research · 2026Article
- Psychological Therapy in the Age of Large Language Models: Framework for Therapist-Delivered and AI-Supported Functions.JMIR mental health · 2026Article
- Perspectives of Individuals With Obsessive-Compulsive Disorder on the Role of Artificial Intelligence in Therapy and Treatment: Thematic Qualitative Study.Journal of participatory medicine · 2026Article
- Artificial Intelligence in Child and Adolescent Psychiatry: A Narrative Review of Recent Clinical Applications and Ethical Considerations.Current psychiatry reports · 2026Review
- Digital Mental Health Through an Intersectional Lens: A Narrative Review.Healthcare (Basel, Switzerland) · 2026Review
- Exploring public perceptions of artificial intelligence in bereavement support: a qualitative study of griefbots.Frontiers in digital health · 2026Article
- Artificial Intelligence and Mental Health of Children and Adolescents: Current Status and Perspectives.Advances in experimental medicine and biology · 2026Review
- Toward an epistemic grounding of clinical reasoning: artificial intelligence and psychological diagnosis.Frontiers in digital health · 2026Article
- Physician Perspectives on the Impact of Artificial Intelligence on the Therapeutic Relationship in Mental Health Care: Qualitative Study.JMIR mental health · 2025Article
- Digital Psychiatry with Chatbot: Recent Advances and Limitations.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2025Review
- A comparison of the quality of integrated case formulations produced by UK psychiatric trainees and an artificial intelligence-assisted application.BJPsych bulletin · 2025Article
- Insights from fifteen years of real-world development, testing and implementation of youth digital mental health interventions.Internet interventions · 2025Review
- Ethical decision-making for AI in mental health: the Integrated Ethical Approach for Computational Psychiatry (IEACP) framework.Psychological medicine · 2025Review
- The need for epistemic humility in AI-assisted pain assessment.Medicine, health care, and philosophy · 2025Article
- Digital and AI-Enhanced Cognitive Behavioral Therapy for Insomnia: Neurocognitive Mechanisms and Clinical Outcomes.Journal of clinical medicine · 2025Review
- Integrative diagnosis of psychiatric conditions using ChatGPT and fMRI data.BMC psychiatry · 2025Article
- Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study.JMIR mental health · 2025Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Researchers are studying how artificial intelligence (AI) can be used to better detect, prognosticate and subgroup diseases. The idea that AI might advance medicine's understanding of biological categories of psychiatric disorders, as well as provide better treatments, is appealing given the historical challenges with prediction, diagnosis and treatment in psychiatry. Given the power of AI to analyse vast amounts of information, some clinicians may feel obligated to align their clinical judgements with the outputs of the AI system. However, a potential epistemic privileging of AI in clinical judgements may lead to unintended consequences that could negatively affect patient treatment, well-being and rights. The implications are also relevant to precision medicine, digital twin technologies and predictive analytics generally. We propose that a commitment to epistemic humility can help promote judicious clinical decision-making at the interface of big data and AI in psychiatry.
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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.