ArticleBMC psychiatry2025
Psychiatrists' and trainees' knowledge, perception, and readiness for integration of artificial intelligence in mental health care in Nigeria.
Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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Who cites it
4 citing papers in PubMed.
- Clinicians' Attitudes and Perceptions on the Adoption of AI in Mental Health Care: Scoping Review.Journal of medical Internet research · 2026Article
- Artificial Intelligence in Psychiatric Graduate Medical Education.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic 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 evolution of sampling in epidemiology: from classical probability models to AI-enhanced recruitment and active learning.Epidemiology and health · 2026Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) is revolutionising healthcare globally, including in Nigeria. AI is promising in psychiatry, particularly in addressing the shortage of psychiatrists and rural healthcare gaps. However, research on AI adoption among Nigerian psychiatrists is unavailable.
aimsThis study assesses Nigerian psychiatrists’ and trainees’ knowledge, perception, and readiness toward AI adoption in psychiatric practice.
methodsAn online cross-sectional survey was conducted using a convenience sample of 200 psychiatrists and trainees. Participants completed a structured online questionnaire assessing demographics, knowledge, perception, and readiness for AI adoption in psychiatry.
resultsThe mean age of the participants is 39 years (Range: 26–68). Most (86.5%) were aware of AI’s usefulness in psychiatric practice, particularly in diagnostic assistance (54%), patient monitoring (60%) and predicting outcomes (59%). However, only 38.5% were familiar with its use. About 73.5% had a positive perception towards AI integration in psychiatry; Most agreed to AI’s potential benefits in the standardisation and personalisation of care plans (63%), addressing the shortage of psychiatrists (61%), minimises bias (73.5%), and prompt help-seeking behaviour among patients (68%). Respondents were sceptical about AI surpassing average psychiatrists in tasks requiring empathy (91.0% unlikely) and mental status examinations (68% unlikely). Data security, potential loss of human interaction, and diminished empathy were significant concerns. Only 29.5% had used AI-based tools, and 79.5% expressed future adoption readiness.
conclusionNigerian psychiatrists view AI as valuable in addressing psychiatric service gaps but emphasise the need for ethical regulations and targeted training to ensure safe, empathetic, and culturally appropriate AI applications in psychiatry. ETHICS REGISTRATION: The study was approved by the Institutional Review Committee of the Kwara State University Teaching Hospital with approval protocol number KWASUTH/IRC/246/VOL.II/46. CLINICAL TRIAL NUMBER: Not applicable.
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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.