Evaluating Artificial Intelligence Models in Dermatology: Comparative Analysis
DermGPT demonstrated strong potential for improving answer clarity and conciseness in dermatology-related queries, while ChatGPT provided more robust source citations, enhancing trust in evidence-based responses.
Authors
- C H Lee (ORCID: https://orcid.org/0009-0006-4283-7783)
- Janellen Smith (ORCID: https://orcid.org/0000-0001-7711-3626)
- Nicole M. Golbari (ORCID: https://orcid.org/0000-0002-9542-1910)
- Cameron Zachary
- William Driscoll
- Aneri Bhargav Patel (ORCID: https://orcid.org/0009-0009-0756-390X)
Institutions
- University of California, Irvine (US)
- NYU Langone Health (US)
- New York Genome Center (US)
- University of California, Davis (US)
Publication Details
- Journal
- JMIR Dermatology
- Published
- 2025-11-03
- DOI
- https://doi.org/10.2196/74040
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00