Beyond the Surface: Assessing GPT-4's Accuracy in Detecting Melanoma and Suspicious Skin Lesions From Dermoscopic Images.

ABSTRACT: Introduction: Self-examinations for skin cancer detection are limited by sensitivity. ChatGPT-4 has image recognition capabilities that can be a useful adjunct for screening cancers and tele-health applications. This study investigated the efficacy of ChatGPT-4 in identifying skin lesions. Methods: Dermoscopic images were retrospectively selected from the PH² dataset, categorized by clinical diagnosis, and uploaded to ChatGPT-4 with a predesigned prompt. Responses were compared against clinical diagnoses. Confidence intervals were calculated using the bootstrap method assessing precision and significance was calculated using McNemar's test. Analyses were performed using Jupyter Notebook and Python. Results: The GPT-4 model showed moderate performance in mela

SUBMITTER: Perlmutter JW 

PROVIDER: S-EPMC11836967 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature