ReviewMolecular psychiatry2025
Practical AI application in psychiatry: historical review and future directions.
Review in Molecular psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence (AI) for virtual reality exposure therapy (VRET): A systematic review.Translational psychiatry · 2026Pooled it
- Unmet needs in functional neurological disorder related to digital healthcare.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Review
- Assessment of drug harm by final-year medical students and ChatGPT - a comparative analysis.Substance abuse treatment, prevention, and policy · 2026Article
- General-Purpose Artificial Intelligence Use in Routine Mental Health Practice Among Australian Clinicians: Mixed Methods Study.Journal of medical Internet research · 2026Article
- AI in Psychiatry for Improving Continuity of Patient Care: Protocol for a Mixed Methods Systematic Review.JMIR research protocols · 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
- An AI-Generated Integrated Exercise Addiction Screening Scale (EASS-10): A Methodological Demonstration.Behavioral sciences (Basel, Switzerland) · 2026Article
- Brain morphology in Anorexia Nervosa and its subtypes: A multi-cohort study of individual participant data.PLoS medicine · 2026Article
- Blocking the Reflection: Milestones and Hurdles for Digital Twins in Mental Health.Pharmacopsychiatry · 2026Review
- Artificial intelligence revolutionizing CNS drug discovery and development.Drug discovery today · 2026Review
- Precision medicine in mental health: applications, challenges, and recommendations.European psychiatry : the journal of the Association of European Psychiatrists · 2026Review
- "It's a complicated issue": exploring perspectives on Reddit from 2016 to 2024 about the American Psychiatric Association's Goldwater Rule and the ethics of public-professional mental health commentary.BMC medical ethics · 2026Article
- Systematic Review of Artificial Intelligence in Positive and Existential Psychiatry: Advancing Mental and Emotional Health Through Metacompetency Development.Healthcare (Basel, Switzerland) · 2026Review
- Common and distinct neurofunctional signatures of dynamic naturalistic emotion regulation strategies.Nature communications · 2026Article
- Artificial Intelligence in Mental Health Care: Task-Specific Perspectives of Professionals in Saudi Arabia.Healthcare (Basel, Switzerland) · 2026Article
- Advanced biomaterials and digital twins for precision psychiatry: neuroimmune modulation and AI-guided therapeutics.Frontiers in bioengineering and biotechnology · 2026Article
- From Engel's Bio-Psycho-Social model to the personalized health determinants model: a comprehensive framework and illustrative operationalization for precision health.Frontiers in digital health · 2026Article
- AI-Integrated Counseling Administration Quality and Organizational Support as Drivers of Early Risk Detection in Indonesian Schools.F1000Research · 2026Article
- Parkinson's disease beyond motor symptoms: a review of the validity and limitations of current classification of non-motor symptoms.Frontiers in psychiatry · 2026Review
- Behavioral and computational perspectives on emotion regulation and subjective wellbeing: an integrative review with a focus on adolescents.Frontiers in psychology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
The integration of artificial intelligence (AI) in mental healthcare holds promise for enhancing diagnostic precision, treatment efficacy, and personalized care. Despite AI's potential to analyze vast datasets and identify subtle patterns, its clinical adoption in psychiatry remains limited. This review critically examines the emerging role of AI in psychiatry, elucidating its utility, challenges, and implications for clinical practice. Through an extensive analysis of the existing literature and empirical evidence, we seek to inform psychiatric stakeholders about both opportunities and obstacles that are presented by AI. We evaluate AI's potential to improve diagnostic accuracy, prognostic performance, and therapeutic interventions. Our pragmatic approach bridges the gap between theoretical advancements and practical implementation, providing valuable insights and actionable recommendations for psychiatric professionals. This article highlights the supportive role of AI, advocating for its judicious integration to enhance patient outcomes while maintaining the human-centric essence of psychiatric practice. By addressing these challenges and fostering collaboration, AI can significantly advance mental healthcare, reduce clinical burdens, and improve patient outcomes.
Indexed as
Identifiers
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.