Accepted for/Published in: JMIR Dermatology
Date Submitted: Jun 29, 2023
Date Accepted: Oct 30, 2023
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Assessing the Accuracy and Comprehensiveness of ChatGPT in Offering Clinical Guidance for Atopic Dermatitis and Acne Vulgaris
ABSTRACT
ChatGPT is a popular artificial intelligence model designed to engage in natural language conversations. It has been trained with a substantial amount of information on the public domain, including textbooks, articles, and websites, as well as conversations between humans. One of the key features of ChatGPT is its ability to generate human-like responses. ChatGPT offers the potential to expand information accessibility, yet despite being trained on vast amounts of data and demonstrating medical competence, literature assessing its utility in offering dermatologic guidance is scant. This descriptive study characterizes the accuracy and comprehensiveness of ChatGPT in responding to potential patient questions for acne vulgaris and atopic dermatitis using independent board-certified dermatologist reviewers and a grading scheme previously referenced in the literature. The findings support that ChatGPT is frequently accurate in providing guidance for these conditions (66–88%), yet less often fully comprehensive (34–53%), often providing logical answers that are at times verbose. These findings provide initial characterization of ChatGPT in the dermatologic setting and should encourage further studies across additional skin conditions moving forward.
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Copyright
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