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

Theme Issue (2023): AI and ChatGPT in Dermatology (13) Generative Language Models Including ChatGPT (311) Research Letter (84) Clinical Information and Decision Making (1407) Skin Cancer and Melanoma Prevention (112) Artificial Intelligence (1371) Chatbots and Conversational Agents (531)

Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55508, first published .
Assessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones

Assessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones

Assessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones

Authors of this article:

Katrina Cirone1, 2 Author Orcid Image ;   Mohamed Akrout2, 3 Author Orcid Image ;   Latif Abid2 Author Orcid Image ;   Amanda Oakley4, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Reddy S, Giri D, Patel R. Artificial Intelligence-Based Distinction of Actinic Keratosis and Seborrheic Keratosis. Cureus 2024 View
  2. Chu C. ChatGPT in veterinary medicine: a practical guidance of generative artificial intelligence in clinics, education, and research. Frontiers in Veterinary Science 2024;11 View
  3. Ray P. Servicing open-source large language models for oncology. The Oncologist 2024 View