Multimodal Large Language Models in Dermatologic Diagnosis: A Game Changer or a Clinical Risk?

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DOI:

https://doi.org/10.2340/actadv.v106.adv-2026-0586

Keywords:

Dermatologic diagnosis, Artificial intelligence, Multimodal large language models, ChatGPT, Gemini

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References

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Zhou J, He X, Sun L, Xu J, Chen X, Chu Y, et al. Pre-trained multimodal large language model enhances dermatological diagnosis using SkinGPT-4. Nat Commun 2024; 15: 5649. DOI: https://doi.org/10.1038/s41467-024-50043-3

Cirkel L, Lechner F, Henk LA, Krusche M, Hirsch MC, Hertl M, et al. Large language models for dermatological image interpretation - a comparative study. Diagnosis (Berl) 2026; 13: 75–81. DOI: https://doi.org/10.1515/dx-2025-0014

Police PR, Danda S, Karri SR. Diagnostic accuracy of artificial intelligence dermatology apps compared to clinical evaluation in Indian patients with common skin conditions. Int J Res Dermatol 2025; 11: 284–290. DOI: https://doi.org/10.18203/issn.2455-4529.IntJResDermatol20252064

Biswas S, Achar U, Hakim B, Achar A. Artificial intelligence in dermatology: A systematized review. Int J Dermatol Venereol 2025; 8: 33–39. DOI: https://doi.org/10.1097/JD9.0000000000000404

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Published

2026-10-06

How to Cite

Akpinar, Ümit, Çelik, M. S., Civaş, E., Hayran, Y., & Yalçın, B. (2026). Multimodal Large Language Models in Dermatologic Diagnosis: A Game Changer or a Clinical Risk?. Acta Dermato-Venereologica, 106, adv–2026. https://doi.org/10.2340/actadv.v106.adv-2026-0586

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