Large language models have been rapidly adopted in general and clinically; they could also be incorporated into medical education. Results of a recent study suggest that a combination of traditional learning methods and large language model use could improve learning outcomes for medical students.
This is a preview of subscription content, access via your institution
Access options
Access Nature and 54 other Nature Portfolio journals
Get Nature+, our best-value online-access subscription
$32.99 / 30 days
cancel any time
Subscribe to this journal
Receive 12 print issues and online access
$189.00 per year
only $15.75 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
References
Morris, C. Sam Altman says 1 million people signed up for ChatGPT in just 60 minutes after the company launched its viral image-generation feature. Fortune https://fortune.com/2025/04/01/sam-altman-chatgpt-signups-soar-hayao-miyazaki-image-generation-feature/ (2025).
Checcucci, E. et al. Metaverse in surgery — origins and future potential. Nat. Rev. Urol. https://doi.org/10.1038/s41585-024-00941-4 (2024).
Boscardin, C. K., Gin, B., Golde, P. B. & Hauer, K. E. ChatGPT and generative artificial intelligence for medical education: potential impact and opportunity. Acad. Med. 99, 22–27 (2024).
Digiacomo, A. et al. Chatgpt vs traditional pedagogy: a comparative study in urological learning. World J. Urol. 43, 286 (2025).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Rights and permissions
About this article
Cite this article
Shah, M.S., Buck, M. Man plus machine: large language models can augment medical student education. Nat Rev Urol (2025). https://doi.org/10.1038/s41585-025-01097-5
Published:
DOI: https://doi.org/10.1038/s41585-025-01097-5