ArticleJournal of medical education and curricular development
Understanding Generative Artificial Intelligence Adoption in Puerto Rican Medical Schools: A Cross-Institutional Survey of First- and Second-Year Students.
Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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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.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline 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
- Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Generative Artificial Intelligence (GenAI) has rapidly gained traction in medical education, yet little is known about its use among medical students in Puerto Rico. This study examines GenAI usage patterns among first- and second-year students across all four Liaison Committee on Medical Education-accredited medical schools in Puerto Rico, with comparisons based on user experience. Methods: A cross-institutional electronic survey was conducted from January to June 2024 among first- and second-year medical students (n = 194) from Ponce Health Sciences University, University of Puerto Rico Medical Sciences Campus, San Juan Bautista School of Medicine, and Universidad Central del Caribe. Students were grouped by program year, and GenAI experience (<1 year vs ≥ 1 year). Chi-square tests were used to evaluate group differences (P < 0.05). Results: Of the 778 first- and second-year medical students enrolled across all schools, 194 responded. Most (72.7%) reported using GenAI, primarily ChatGPT (89.9%), mainly for academic purposes (75.3%). Students with ≥1 year of GenAI experience were more likely to agree that GenAI helped them understand research papers (89.9%) compared to 51.6% of less-experienced users who disagreed (P < 0.001). From this same cohort, 72.7% also planned to use GenAI for board exam preparation, compared to 63.2% of less-experienced users who did not plan to use it. Although 72.2% believe GenAI will be integrated into Puerto Rico's healthcare system, only 52.1% felt that local medical facilities would be receptive. Challenges such as limited data access (27%) and power outages (34%) were more commonly reported by less-experienced users. Conclusion: Generative AI adoption among Puerto Rican medical students is expanding, mainly for academic purposes. Greater experience correlates with higher perceived benefit, emphasizing the need for structured, ethical GenAI training, and institutional support within medical education.
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Registered trials
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