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

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