SynthesisBMC psychiatry2025
The application of artificial intelligence in the field of mental health: a systematic review.
Synthesis in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses 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
50 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Responsible artificial intelligence integration framework for psychiatric guidelines.The international journal of neuropsychopharmacology · 2026Guideline
- Artificial Intelligence in Schizophrenia Spectrum Disorders: Current Use and Future Perspectives. A Systematic Mapping Literature Review.Alpha psychiatry · 2026Pooled it
- Artificial intelligence in mental health care: a scoping review of reviews.Frontiers in psychiatry · 2026Pooled it
- Application of artificial intelligence and psychosocial functioning in psychosis: a systematic review and meta-analysis.Frontiers in psychiatry · 2025Pooled it
- GymBuddy and Elomia, AI-integrated applications, effects on the mental health of the students with psychological disorders.BMC psychology · 2025Trial
- When Care Becomes Digital: Shared Experiences in Psychiatric Nursing-A Phenomenological Study.Journal of psychiatric and mental health nursing · 2026Article
- Between Awareness and Readiness: Perceptions of Artificial Intelligence Among Indonesian Mental Health Professionals.Behavioral sciences (Basel, Switzerland) · 2026Article
- Artificial Intelligence Applications in Mental Health: A Systematic Review of Clinical Practice, Educational Transformation, and Ethical Governance.Healthcare (Basel, Switzerland) · 2026Review
- A Cautious Integration With AI in the Clinic: A Standardized-Patient Pilot Study of ChatGPT's Reliability in Hamilton Depression Rating Scale Scoring.Alpha psychiatry · 2026Article
- Artificial Intelligence in Spiritual Care: Modified Delphi Study.Journal of medical Internet research · 2026Article
- Adoption of Artificial Intelligence-Based Precision Mental Health Technologies Among Psychology Trainees: Mixed Methods Cross-Sectional Survey Study.Journal of medical Internet research · 2026Article
- Mental health disorders and the treatment gap: a neglected public health challenge.Annals of medicine and surgery (2012) · 2026Article
- A scoping review of the use of artificial intelligence as a psychological assessment tool.Translational psychiatry · 2026Article
- Students' Perspectives on Digital Psychotherapy-Possible Solutions for Digital Inpatient-Like Care Concepts: Qualitative Interview Study.JMIR medical education · 2026Article
- Enhancing psychological resilience in cyberbullying victims through AI-guided cognitive reappraisal.Internet interventions · 2026Article
- Artificial Intelligence-Integrated Virtual Reality in Mental Health Care: A Scoping Review of Evidence, Clinical Applications, and Future Directions.Journal of clinical medicine · 2026Review
- Machine learning approaches to distinguish bipolar disorder from borderline personality disorder: a scoping review.BMC psychiatry · 2026Article
- Exploring Students' Perceptions and Usage of Artificial Intelligence in Supporting Mental Health: A Preliminary Study in Higher Education in Qatar.Healthcare (Basel, Switzerland) · 2026Article
- The future of psychiatry: Reclaiming relevance in an era of technological and systemic transformation.The Australian and New Zealand journal of psychiatry · 2026Article
- Use and Performance of Language-based Artificial Intelligence (AI) Models to Screen for Depressive Disorders.Current psychiatry reports · 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
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe integration of artificial intelligence in mental health care represents a transformative shift in the identification, treatment, and management of mental disorders. This systematic review explores the diverse applications of artificial intelligence, emphasizing both its benefits and associated challenges.
methodsA comprehensive literature search was conducted across multiple databases based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses, including ProQuest, PubMed, Scopus, and Persian databases, resulting in 2,638 initial records. After removing duplicates and applying strict selection criteria, 15 articles were included for analysis.
resultsThe findings indicate that AI enhances early detection and intervention for mental health conditions. Various studies highlighted the effectiveness of AI-driven tools, such as chatbots and predictive modeling, in improving patient engagement and tailoring interventions. Notably, tools like the Wysa app demonstrated significant improvements in user-reported mental health symptoms. However, ethical considerations regarding data privacy and algorithm transparency emerged as critical challenges. DISCUSSION: While the reviewed studies indicate a generally positive trend in AI applications, some methodologies exhibited moderate quality, suggesting room for improvement. Involving stakeholders in the creation of AI technologies is essential for building trust and tackling ethical issues. Future studies should aim to enhance AI methods and investigate their applicability across various populations.
conclusionThis review underscores the potential of AI to revolutionize mental health care through enhanced accessibility and personalized interventions. However, careful consideration of ethical implications and methodological rigor is essential to ensure the responsible deployment of AI technologies in this sensitive field.
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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.