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

Research Letter (3) AI Language Models in Health Care (61) Decision Support for Health Professionals (1210) Machine Learning (1501) Generative Language Models Including ChatGPT (325) Image Recognition and AI in Dermatology (12) Machine Learning from Digital Images in Dermatology (10) Theme Issue (2023): AI and ChatGPT in Dermatology (13)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59273, first published .
Claude 3 Opus and ChatGPT With GPT-4 in Dermoscopic Image Analysis for Melanoma Diagnosis: Comparative Performance Analysis

Claude 3 Opus and ChatGPT With GPT-4 in Dermoscopic Image Analysis for Melanoma Diagnosis: Comparative Performance Analysis

Claude 3 Opus and ChatGPT With GPT-4 in Dermoscopic Image Analysis for Melanoma Diagnosis: Comparative Performance Analysis

Authors of this article:

Xu Liu1 Author Orcid Image ;   Chaoli Duan1 Author Orcid Image ;   Min-kyu Kim1 Author Orcid Image ;   Lu Zhang1 Author Orcid Image ;   Eunjin Jee1 Author Orcid Image ;   Beenu Maharjan1 Author Orcid Image ;   Yuwei Huang1 Author Orcid Image ;   Dan Du1 Author Orcid Image ;   Xian Jiang1 Author Orcid Image
Article Authors Cited by (3) Tweetations Metrics

Journals

  1. Nguyen D, MacKenzie A, Kim Y. Encouragement vs. liability: How prompt engineering influences ChatGPT-4's radiology exam performance. Clinical Imaging 2024;115:110276 View
  2. Goktas P, Grzybowski A. Assessing the Impact of ChatGPT in Dermatology: A Comprehensive Rapid Review. Journal of Clinical Medicine 2024;13(19):5909 View
  3. Li X, Liu K, Lang Y, Chai Z, Liu F. Exploring the Potential of Claude 3 Opus in Renal Pathological Diagnosis: Performance Evaluation. JMIR Medical Informatics 2024;12:e65033 View