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

Research Letter (106) Skin Cancer and Melanoma Prevention (123) Generative Language Models Including ChatGPT (708) Theme Issue: AI and ChatGPT in Dermatology (24) Machine Learning (2076) Artificial Intelligence (2129) Computer-Aided Diagnosis (251)

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
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Keplinger L, Hu G. Limitations of ChatGPT in Dermatologic Image Analysis: Toward Broader and Deeper Evaluation. Journal of Investigative Dermatology 2025;145(12):3187 View