Photographic Quantification of Actinic Keratoses Using Human- and Artificial Intelligence-Based Assessment: A Pilot Study.

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Bibliographic Details
Title: Photographic Quantification of Actinic Keratoses Using Human- and Artificial Intelligence-Based Assessment: A Pilot Study.
Authors: Li Y; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Liao V; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Nykaza IR; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Ong MM; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Kose K; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Kurtansky NR; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Halpern AC; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA., Wehner MR; Department of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA; Division of Cancer Prevention and Population Sciences, Department of Dermatology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA., Rotemberg V; Dermatology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York, USA. Electronic address: rotembev@mskcc.org.
Source: The Journal of investigative dermatology [J Invest Dermatol] 2026 Mar; Vol. 146 (3), pp. 819-822.e5. Date of Electronic Publication: 2025 Aug 25.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 0426720 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1523-1747 (Electronic) Linking ISSN: 0022202X NLM ISO Abbreviation: J Invest Dermatol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1523-1747
DOI:10.1016/j.jid.2025.08.015