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 (1644) Artificial Intelligence (1626) 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
Article Authors Cited by Tweetations Metrics

Nitin Chetla   1 * , BS ;   Matthew Chen   2 * , BS ;   Joseph Chang   3 , BS ;   Aaron Smith   1 , BS ;   Tamer Rajai Hage   4 , BS ;   Romil Patel   1 , BS ;   Alana Gardner   5 ;   Bridget Bryer   6 , MD

1 University of Virginia School of Medicine, University of Virginia, Charlottesville, VA, United States

2 Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, United States

3 University of Passau, Passau, Germany

4 Virginia Tech, Blacksburg, VA, United States

5 University at Albany, State University of New York, Albany, NY, United States

6 Department of Dermatology, University of Virginia, Charlottesville, VA, United States

*these authors contributed equally

Corresponding Author:

  • Nitin Chetla, BS
  • University of Virginia School of Medicine
  • University of Virginia
  • 828 Cabell Avenue
  • Charlottesville, VA, 22903
  • United States
  • Phone: 1 571-581-0562
  • Email: nc8qh@virginia.edu