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

Research Letter (106) Skin Cancer and Melanoma Prevention (123) Generative Language Models Including ChatGPT (713) Theme Issue: AI and ChatGPT in Dermatology (24) Machine Learning (2083) Artificial Intelligence (2144) Computer-Aided Diagnosis (253)

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 (2) 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
  2. Ünal E, Yücel M, Gedikli S, Akay B. ChatGPT-4o as a diagnostic tool for skin cancer: Diagnostic accuracy in melanoma and non-melanoma detection. Cutaneous and Ocular Toxicology 2025:1 View