Document Type
Article
Publication Date
5-29-2025
Abstract
PURPOSEOF REVIEW: This review examines the various ways artificial intelligence (AI) has been utilized in medical education (MedEd)and presents ideas that will ethically and effectively leverage AI in enhancing the learning experience of medical trainees.
RECENT FINDINGS: AI has improved accessibility to learning material in a manner that engages the wider population. It has utility as a reference tool and can assist academic writing by generating outlines, summaries and identifying relevant reference articles. As AI is increasingly integrated into MedEd and practice, its regulation should become a priority to prevent drawbacks to the education of trainees. By involving physicians in AI design and development, we can best preserve the integrity, quality, and clinical relevance of AI-generated content. In adopting the best practices for AI use, we can maximize its benefits while preserving the ethical standards of MedEd with the goal of improving learning outcomes.
Recommended Citation
Thompson, Rasheed A. M.; Shah, Yash B.; Aguirre, Francisco; Stewart, Courtney; Lallas, Costas D.; and Shah, Mihir S., "Artificial Intelligence Use in Medical Education: Best Practices and Future Directions" (2025). Department of Urology Faculty Papers. Paper 92.
https://jdc.jefferson.edu/urologyfp/92
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
PubMed ID
40439780
Language
English
Included in
Artificial Intelligence and Robotics Commons, Medical Education Commons, Urology Commons
Comments
This article is the author's final published version in Current Urology Reports, Volume 26, Issue 1, 2025, Article number 45.
The published version is available at https://doi.org/10.1007/s11934-025-01277-1.
Copyright © The Author(s) 2025