Impact of Large Language Model–assisted Differential Diagnosis on Clinical Decision-making in Dermatology: A Feasibility Study Using ChatGPT-5

Authors

  • Yuto Yamamura Department of Dermatology, Faculty of Medicine, Kindai University Hospital, Osaka-Sayama, Japan https://orcid.org/0009-0003-1446-0948
  • Kazuyasu Fujii Department of Dermatology, Faculty of Medicine, Kindai University Hospital, Osaka-Sayama, Japan
  • Chisa Nakashima Department of Dermatology, Faculty of Medicine, Kindai University Hospital, Osaka-Sayama, Japan
  • Atsushi Otsuka Department of Dermatology, Faculty of Medicine, Kindai University Hospital, Osaka-Sayama, Japan

DOI:

https://doi.org/10.2340/actadv.v106.adv-2025-0180

Keywords:

Dermatology, Generative Artificial Intelligence, Large Language Models, Diagnostic Support, Diagnostic Accuracy

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References

Esteva A, Kuprel B, Novoa RA, Ko J, Swetter SM, Blau HM, et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature 2017; 542: 115–118. DOI: https://doi.org/10.1038/nature21056

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Published

2026-05-11

How to Cite

Yamamura, Y., Fujii, K., Nakashima, C., & Otsuka, A. (2026). Impact of Large Language Model–assisted Differential Diagnosis on Clinical Decision-making in Dermatology: A Feasibility Study Using ChatGPT-5. Acta Dermato-Venereologica, 106, adv–2025. https://doi.org/10.2340/actadv.v106.adv-2025-0180

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Short Communication

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