Implementing GPT‐4 Learning Models in Dermatology: An Assessment of Medical Quality and Utility
Overall, GPT-4 models produced dermatological content with few harmful recommendations. However, GPT-4-generated content performed poorly on the DISCERN instrument, and validation of LLM-generated responses remains challenging. Results suggest LLM parameters and query structures may be optimizable for dermatologic applications. If implemented alongside the professional judgement of certified dermatologists, future LLMs may serve as time-saving dermatologic tools, enhancing patient care.
Authors
- Thanh‐Nga T. Tran
- Aryan Naik
- Peter Vien
Institutions
- University of Vermont (US)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- Skin Research and Technology
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1111/srt.70331
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00