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Assessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Assessing the Utility of Multimodal Large Language Models GTP-4V and LLaVA in Identifying Melanoma Across Different Skin Tones
Katrina Cirone;
Mohamed Akrout;
Latif Abid;
Amanda Oakley
ABSTRACT
The large language models GTP-4V and LLaVA, are capable of understanding and accurately differentiating between benign lesions and melanoma, indicating potential incorporation into dermatologic care, medical research, and education.
Citation
Please cite as:
Cirone K, Akrout M, Abid L, Oakley A
Assessing the Utility of Multimodal Large Language Models (GPT-4 Vision and Large Language and Vision Assistant) in Identifying Melanoma Across Different Skin Tones