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Published on in Vol 8 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67299, first published .
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Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma

Assessing the Diagnostic Accuracy of ChatGPT-4 in Identifying Diverse Skin Lesions Against Squamous and Basal Cell Carcinoma

Journals

  1. Keplinger L, Hu G. Limitations of ChatGPT in Dermatologic Image Analysis: Toward Broader and Deeper Evaluation. Journal of Investigative Dermatology 2025;145(12):3187 View
  2. Ünal E, Yücel M, Gedikli S, Akay B. ChatGPT-4o as a diagnostic tool for skin cancer: Diagnostic accuracy in melanoma and non-melanoma detection. Cutaneous and Ocular Toxicology 2026;45(1):43 View
  3. Ünal E, Duman Günsay D, Yücel M. Evaluating ChatGPT-5 for the Diagnosis of Benign Skin Lesions: Insights from Macroscopic and Dermoscopic Imaging. Archives of Current Medical Research 2026;7(1):171 View
  4. Sangers T, Shifai A, Pasqualini D, Barata C, Braun R, Brinker T, Cartocci A, Esdaile B, Goldinger S, Guitera P, Haenssle H, Kittler H, Monnier J, Navarrete‐Dechent C, Podlipnik S, Serra‐García L, Stolz W, Thomsen K, Tschandl P, Tognetti L, Plasmeijer E, van Doorn R, Malvehy J. Smartphone Applications in Dermatology With Special Focus on AI: A European‐Continent‐Based Review. International Journal of Dermatology 2026 View