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

Theme Issue (2023): AI and ChatGPT in Dermatology (17) Generative Language Models Including ChatGPT (463) Research Letter (93) Clinical Information and Decision Making (1604) Skin Cancer and Melanoma Prevention (118) Artificial Intelligence (1665) Chatbots and Conversational Agents (614)

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 (10) 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
  4. Naldi L, Bettoli V, Santoro E, Valetto M, Bolzon A, Cassalia F, Cazzaniga S, Cima S, Danese A, Emendi S, Ponzano M, Scarpa N, Dri P. Application of ChatGPT as a content generation tool in continuing medical education: acne as a test topic. Dermatology Reports 2024 View
  5. Zarfati M, Nadkarni G, Glicksberg B, Harats M, Greenberger S, Klang E, Soffer S. Exploring the Role of Large Language Models in Melanoma: A Systematic Review. Journal of Clinical Medicine 2024;13(23):7480 View
  6. Block B, Powers C, Chang A, Campbell C, Piontkowski A, Orloff J, Levoska M, Cices A, Fenner J, Talia J, Adalsteinsson J, Ungar J, Gulati N. Diagnostic performance of generative pretrained transformer -4 with vision technology versus board-certified dermatologists: A comparative analysis using dermoscopic and clinical images. JAAD International 2025;18:142 View
  7. Güneş Y, Ülkir M. Comparative Performance Evaluation of Multimodal Large Language Models, Radiologist, and Anatomist in Visual Neuroanatomy Questions. Uludağ Üniversitesi Tıp Fakültesi Dergisi 2025;50(3):551 View
  8. Sattler S, Chetla N, Chen M, Hage T, Chang J, Guo W, Hugh J. Evaluating the Diagnostic Accuracy of ChatGPT-4 Omni and ChatGPT-4 Turbo in Identifying Melanoma: Comparative Study. JMIR Dermatology 2025;8:e67551 View
  9. Lewandowski M, Kropidłowska J, Kvinen A, Barańska‐Rybak W. A Systemic Review of Large Language Models and Their Implications in Dermatology. Australasian Journal of Dermatology 2025 View
  10. Liu X, Zou Y, Liu Q, Wang Z, Kim M, Jun T, Huang Y, Guo L, Jiang X. Large Language Models in Dermatology: A Systematic Review of Applications, Challenges, and Future Directions (Preprint). Journal of Medical Internet Research 2025 View