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

Research Letter (106) Chatbots and Conversational Agents (740) Skin Cancer and Melanoma Prevention (123) Digital Photography and Imaging in Dermatology (43) Generative Language Models Including ChatGPT (707)

Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67551, first published .
Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study

Authors of this article:

Samantha S. Sattler1 Author Orcid Image ;   Nitin Chetla2 Author Orcid Image ;   Matthew Chen3 Author Orcid Image ;   Tamer Rajai Hage4 Author Orcid Image ;   Joseph Chang5 Author Orcid Image ;   William Young Guo1 Author Orcid Image ;   Jeremy Hugh1 Author Orcid Image
Article Authors Cited by (4) 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. Liu Y, Zhang Y. ChatGPT as a clinical support tool: A comprehensive review of applications, assessment, and implementation challenges. Physiotherapy Practice and Research 2025 View
  3. Ferrari S, Negro S, Celotto F, Bao Q, Madeo G, Pulvirenti A, Spolverato G. Artificial intelligence for post-polypectomy surveillance: a scoping review of emerging tools in colorectal cancer prevention. Artificial Intelligence Surgery 2025;5(4):490 View
  4. Wang Q, Amugo I, Rajakaruna H, Irudayam M, Xie H, Shanker A, Adunyah S. Evaluating GPT-5 for Melanoma Detection Using Dermoscopic Images. Diagnostics 2025;15(23):3052 View