Diagnostic performance of multimodal large language models in distinguishing melanoma from nevi in clinical and dermoscopic images
JAAD Int
.
2025 Sep 5:23:58-60.
doi: 10.1016/j.jdin.2025.08.008.
eCollection 2025 Dec.
Authors
Mehdi Boostani
1
2
,
Aimilios Lallas
3
,
Mohamad Goldust
4
,
Nóra Nádudvari
2
,
Kende Lőrincz
2
,
András Bánvölgyi
2
,
Péter Holló
2
,
Norbert M Wikonkál
2
5
,
Gyorgy Paragh
1
,
Norbert Kiss
2
Affiliations
1
Department of Dermatology, Roswell Park Comprehensive Cancer Center, Buffalo, New York.
2
Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
3
First Department of Dermatology and Venereology, Faculty of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece.
4
Department of Dermatology, Yale University School of Medicine, New Haven, Connecticut.
5
Central Hospital of Northern Pest-Military Hospital, Budapest, Hungary.
PMID:
41079391
PMCID:
PMC12510231
DOI:
10.1016/j.jdin.2025.08.008
No abstract available
Keywords:
artificial intelligence; chatgpt; gemini; large language model; melanoma; naevus.