ArticleJournal of medical education and curricular development
A Training Needs Analysis for AI and Generative AI in Medical Education: Perspectives of Faculty and 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. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Article
- Health Professional Students' Use of Generative Artificial Intelligence During Clinical Placements: Cross-Sectional Online Survey Study.JMIR medical education · 2026Article
- AI-enabled proactive health education: perceptions of public health students - a qualitative study.BMC medical education · 2026Article
- Large Language Models in Medical and Dental Education: A Cross-Sectional Comparison of AI-Generated and Faculty-Authored Prosthodontic Materials.Dentistry journal · 2026Article
- Faculty Perspectives on AI Integration in Anatomy Education in the United Arab Emirates: Cross-Sectional Survey.JMIR medical education · 2026Article
- The AI adaptation divide in medical education: A generational perspective.PLOS digital health · 2026Article
- Preparedness for generative AI adoption among Chinese cancer survivors: a multi-center cross-sectional survey study.Frontiers in public health · 2026Article
- Assessing LLM-generated vs. expert-created clinical anatomy MCQs: a student perception-based comparative study in medical education.Medical education online · 2025Article
- Integrating Task-Technology Fit and Community of Practice Theories to Enhance Medical Educator Skill Confidence in Generative AI: Design, Implementation, and Pilot Outcomes.Medical science educator · 2025Article
- Immersive Reality-Based Training Simulator for Dental Extraction: Protocol for a Randomized Pilot Trial.JMIR research protocols · 2025Article
- Large language models as educational collaborators: developing non-conventional teaching aids in pharmacology & therapeutics.BMC medical education · 2025Article
- Technologies, opportunities, challenges, and future directions for integrating generative artificial intelligence into medical education: a narrative review.Ewha medical journal · 2025Article
- The Usability of Neurological Occupational Therapy Case Studies Generated by ChatGPT.Healthcare (Basel, Switzerland) · 2025Article
- Applied insights for using Generative Artificial Intelligence in Faculty Development in Health Professions Education.MedEdPublish (2016) · 2025Article
- Understanding AI Training Needs in Medical Education: An Alternative Perspective.Journal of medical education and curricular developmentArticle
- From Novelty to Necessity: Artificial Intelligence in Medical Education.Journal of medical education and curricular developmentArticle
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The growing presence of artificial intelligence (AI) in health professions has created a need to investigate its potential benefits and challenges in medical education. This article presents findings from an AI learner training needs analysis survey at a U.S. medical school. It compares faculty and student experiences and perspectives on using generative AI (GAI) and other AI tools for undergraduate medical education, focusing on their respective knowledge and learning preferences. Methods: Faculty and students were surveyed using an online cross-sectional survey design to assess their GAI experience, AI patterns of use, adoption readiness, and training preferences. Surveys contained 14 to 15 multiple-choice items, with 8 items including a write-in option. A total of 68 faculty and 506 students responded to the survey, with a 50% response rate for faculty and 30% for students. Statistical tests were used to determine whether students and faculty differed significantly in their GAI experience. Results: We found that students were significantly more familiar with GAI than faculty ( Conclusion: Our findings will inform the design of two parallel structured AI training programs, focusing on faculty and student priorities, including hands-on skills practice, and emphasizing AI's ethical use, reliability, and limitations.
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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.