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.

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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
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article

Evaluating ChatGPT-4o's accuracy in answering American Board of Dermatology practice questions: an analysis of AI in dermatology residency education

Maria Mariencheck, Nathan Schedler, Steven A. Feldman, Matthew L. Hrin et al.
Dermatology Online Journal
Artificial Intelligence in Healthcare and Education
article

Evaluating ChatGPT-4o's accuracy in answering American Board of Dermatology practice questions: an analysis of AI in dermatology residency education

Maria Mariencheck, Nathan Schedler, Steven A. Feldman, Matthew L. Hrin, Lauren M. McGrath, Sarah K. Martin, Zeynep Meltem Akkurt
article en

Abstract

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.

Dermatology Online JournalVol. 31(4)
Wake Forest University (US)
Openalex Percentile: Top 77%
Artificial Intelligence in Healthcare and Education
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