ReviewJMIR medical education2020
Artificial Intelligence Education and Tools for Medical and Health Informatics Students: Systematic Review.
Review in JMIR medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 papers, 7 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
127 citing papers in PubMed, 7 syntheses or guidelines pooled it, 336 citations in OpenAlex.
- AI-Powered Simulation for Nursing Education: Mixed Methods Systematic Review.Journal of medical Internet research · 2026Pooled it
- Is it time to introduce an artificial intelligence curriculum in undergraduate medical education? medical students' perspectives: a systematic review and meta-analysis.BMC medical education · 2026Pooled it
- Content and structural needs assessment for an artificial intelligence education mobile app in healthcare: a mixed methods study.BMC medical education · 2025Pooled it
- Artificial intelligence (AI) for social innovation in health education: promoting health literacy through personalized ai-driven learning tools - a systematic review.BMC medical education · 2025Pooled it
- AI-Powered Problem- and Case-based Learning in Medical and Dental Education: A Systematic Review and Meta-analysis.International dental journal · 2025Pooled it
- AI in the Health Sector: Systematic Review of Key Skills for Future Health Professionals.JMIR medical education · 2025Pooled it
- AI Quality Standards in Health Care: Rapid Umbrella Review.Journal of medical Internet research · 2024Pooled it
- Artificial Intelligence Readiness in Emergency Medicine: Expert Consensus Opinion for Preparing the Workforce.Journal of the American College of Emergency Physicians open · 2026Article
- Voice-Enabled Virtual Patients for Interactive Training in Standardized Clinical Assessment: Mixed Methods Pilot Study.Journal of medical Internet research · 2026Article
- Ethical and responsible use of artificial intelligence in medical education.International journal of emergency medicine · 2026Review
- Teaching Model Context Protocol, Retrieval-Augmented Generation, and AI Agents to a Multidisciplinary Hospital Workforce: Single-Group Pre-Post Survey Study.JMIR medical education · 2026Article
- Explainable Artificial Intelligence (XAI) in Medical Education: A Multi-Modal Framework for Enhancing Human-AI Collaboration.Research square · 2026Article
- Use, Concerns, and Perspectives on AI in Health Care Among French Health Professionals and Students: Web-Based Cross-Sectional Survey.JMIR medical education · 2026Article
- Attitudes and Usage of ChatGPT Among Medical and Paramedical Students in Iran: A Cross-Sectional Study.Health science reports · 2026Article
- Determinants of medical students' attitudes toward artificial intelligence: a cross-sectional study and implications for medical education.BMC medical education · 2026Article
- AI in UK Medical Education: A Framework for Curriculum Reform.JMIR medical education · 2026Article
- Dual dimensions of artificial intelligence use among medical academia: related knowledge, attitudes and ethical concerns, a national survey, 2025.Scientific reports · 2026Article
- Metaverse enabled virtual reality and simulation training for medical education review.iScience · 2026Review
- Medical students' and faculty members' perceptions and experiences of AI integration in health care practice and in medical curricula: A meta-ethnographic review.Medical education · 2026Review
- Revising the TIGER 2018 Health Informatics Competency Framework: Updated Core Competency Areas for Nurses in a Digital Health Era.Methods of information in medicine · 2026Article
67 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe use of artificial intelligence (AI) in medicine will generate numerous application possibilities to improve patient care, provide real-time data analytics, and enable continuous patient monitoring. Clinicians and health informaticians should become familiar with machine learning and deep learning. Additionally, they should have a strong background in data analytics and data visualization to use, evaluate, and develop AI applications in clinical practice.
objectiveThe main objective of this study was to evaluate the current state of AI training and the use of AI tools to enhance the learning experience.
methodsA comprehensive systematic review was conducted to analyze the use of AI in medical and health informatics education, and to evaluate existing AI training practices. PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols) guidelines were followed. The studies that focused on the use of AI tools to enhance medical education and the studies that investigated teaching AI as a new competency were categorized separately to evaluate recent developments.
resultsThis systematic review revealed that recent publications recommend the integration of AI training into medical and health informatics curricula.
conclusionsTo the best of our knowledge, this is the first systematic review exploring the current state of AI education in both medicine and health informatics. Since AI curricula have not been standardized and competencies have not been determined, a framework for specialized AI training in medical and health informatics education is proposed.
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.