ReviewAdvances in medical education and practice2026
The Evolving Role of AI in Simulation-Based Medical Education: A Narrative Review.
Review in Advances in medical education and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness of artificial intelligence-driven simulation in dental education: a systematic review and meta-analysis of learning outcomes.BMC medical education · 2026Pooled it
- Development and implementation of a novel clinical teaching model integrating real-world case with patient-specific three-dimensional imaging in urology.BMC medical education · 2026Trial
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: A growing body of literature has emerged on the topic of Artificial Intelligence (AI) use in Simulation-Based Medical Education (SBME) in recent years, but most studies have focused on isolated applications of AI to components of simulation, making it difficult for educators and decision makers to make informed decisions on the use of AI. Therefore, this narrative review aims to condense the current literature on the use of AI in the SBME, its influence on experiential learning, explore challenges, and future directions in this rapidly evolving field. Methods: A targeted literature search was conducted for this review on PubMed and Google Scholar, with combinations of keywords. Articles were selected from 2019 to 2025, based on their relevance to the use of AI in SBME, in areas of teaching, learning, and assessment. Studies without educational outcomes were excluded. Results: The search produced 2019 papers, out of which 45 were analyzed after applying the exclusion criteria. These showed that AI has been applied across multiple dimensions of the SBME, including scenario development, enhancing realism, personalized and collaborative learning, developing communication and psychomotor skills, and automated and AI augmented feedback. Several challenges have been raised, like ethical and privacy concerns, lack of AI literacy among users, lack of transparency, undesired outcomes, infrastructure cost, and environmental effects. Conclusion: Benefits of AI in SBME stem from AI-augmented human teaching rather than unsupervised usage of AI tools. Additionally, the potential for personalized and accessible learning warrants further research.
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.