ArticleMedical science educator2025
Exploring Artificial Intelligence Readiness in Medical Students: Analysis of a Global Survey.
Article in Medical science educator, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 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
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Medical Students' Attitudes, Perceptions, and Self-Reported Familiarity With AI in Health Care: Systematic Review and Meta-Analysis.JMIR medical education · 2026Pooled it
- Medical undergraduate students' readiness and anxiety toward artificial intelligence: a systematic review and meta-analysis.BMC medical education · 2025Pooled it
- AI literacy and ethical attitudes toward AI in medical students: evidence from a structural model.BMC medical education · 2026Article
- Assessing pediatricians' readiness for artificial intelligence: a cross-sectional study in Istanbul, Türki̇ye.BMC pediatrics · 2026Article
- Artificial intelligence readiness and its association with artificial intelligence literacy among Chinese medical students: a latent profile analysis.Frontiers in public health · 2026Article
- Evaluating a Custom Chatbot in Undergraduate Medical Education: Randomised Crossover Mixed-Methods Evaluation of Performance, Utility, and Perceptions.Behavioral sciences (Basel, Switzerland) · 2025Article
- Assessing Medical Students' Perceptions of AI-Integrated Telemedicine: A Cross-Sectional Study in Romania.Healthcare (Basel, Switzerland) · 2025Article
- Psychometric assessment of the Persian translated version of the "medical artificial intlligence readiness scale for medical students".PloS one · 2025Article
- Readiness to Embrace Artificial Intelligence Among Medical Students in Saudi Arabia: A National Survey.Healthcare (Basel, Switzerland) · 2024Article
- Medical Students' Readiness for Medical Artificial Intelligence (AI).Inquiry : a journal of medical care organization, provision and financingArticle
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
Introduction: The impact of artificial intelligence (AI) in diverse fields, including medical education, has emerged as a pivotal topic as the integration of AI technologies is becoming increasingly prevalent. This research delved into the landscape of AI integration in academic settings aimed to evaluate the students' readiness for the evolving AI landscape in medical education. Materials and Methods: Participants were recruited from the International Collaboration and Exchange Program (ICEP) in the fall of 2023. An online survey was conducted to collect data on demographics, the landscape of AI utilization in academic settings, and the perceived readiness levels related to AI from 223 participants. The Medical Artificial Intelligence Readiness Scale for Medical Students (MAIRS-MS) was used. Results: Results indicated that 41.82% of participants "agreed" or "strongly agreed" that AI education should be part of medical training. Overall levels of AI readiness exhibited a statistically significant positive correlation with the frequency of AI inclusion in the curriculum ( Conclusions: This study offers valuable insights into the ongoing discussion on the role of AI in education, providing a foundation for educators to consider the integration of AI into their educational framework. The implementation of AI education could potentially enhance students' AI readiness, considering the multiple benefits this symbiosis can offer. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-024-02190-x.
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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.