This paper is in the following e-collection/theme issue:

Research Letter (91) Skin Cancer and Melanoma Prevention (118) Generative Language Models Including ChatGPT (433) Theme Issue (2023): AI and ChatGPT in Dermatology (15) Machine Learning (1643) Artificial Intelligence (1624) Computer-Aided Diagnosis (168)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67299, first published .
Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma

Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma

Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma

Authors of this article:

Nitin Chetla1 Author Orcid Image ;   Matthew Chen2 Author Orcid Image ;   Joseph Chang3 Author Orcid Image ;   Aaron Smith1 Author Orcid Image ;   Tamer Rajai Hage4 Author Orcid Image ;   Romil Patel1 Author Orcid Image ;   Alana Gardner5 Author Orcid Image ;   Bridget Bryer6 Author Orcid Image
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