Evaluating ChatGPT-4o's accuracy in answering American Board of Dermatology practice questions: an analysis of AI in dermatology residency education
Artificial intelligence may enhance medical education. This study evaluates ChatGPT-4o's accuracy in answering sample questions from the American Board of Dermatology BASIC, CORE, and APPLIED examinations. Fifty publicly available questions, with and without images, were analyzed for accuracy and performance across difficulty levels and categories. Its performance varied significantly between text-only and image-based questions, with lower accuracy on image-based questions (47%). Improvements in artificial intelligence for the use in dermatology residency education are necessary, as limitations in visual diagnostic skills were evident.
Authors
- Maria Mariencheck
- Nathan Schedler (ORCID: https://orcid.org/0009-0008-2924-1189)
- Steven A. Feldman (ORCID: https://orcid.org/0000-0003-2098-3860)
- Matthew L. Hrin (ORCID: https://orcid.org/0000-0002-2769-3156)
- Lauren M. McGrath (ORCID: https://orcid.org/0000-0001-6928-9656)
- Sarah K. Martin
- Zeynep Meltem Akkurt
Institutions
- Wake Forest University (US)
Publication Details
- Journal
- Dermatology Online Journal
- Published
- 2025-09-08
- DOI
- https://doi.org/10.25251/bvjddn46
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00