Artificial Intelligence-Based Diagnosis of Kaposi Sarcoma Using Digital Photographs in Dark-Skinned Patients in Uganda.

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Bibliographic Details
Title: Artificial Intelligence-Based Diagnosis of Kaposi Sarcoma Using Digital Photographs in Dark-Skinned Patients in Uganda.
Authors: Coates SJ; Department of Dermatology, University of California, San Francisco, San Francisco, CA., Yang F; Division of Imaging, Diagnostics, and Software Reliability, Office Science and Engineering Laboratories, Center for Devices and Radiological Health, US Food and Drug Administration, Silver Spring, MD., Hill C; Division of Intramural Research, National Library of Medicine, Bethesda, MD., Xue Z; Division of Intramural Research, National Library of Medicine, Bethesda, MD., Rajaraman S; Division of Intramural Research, National Library of Medicine, Bethesda, MD., Semeere A; Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda., Ayanga R; Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda., Laker-Oketta M; Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda., Byakwaga H; Infectious Diseases Institute, Makerere University College of Health Sciences, Kampala, Uganda., Lukande R; Pathology Department, Makerere University College of Health Sciences, Kampala, Uganda., Semakadde M; HIV Clinic, Masaka Regional Referral Hospital, Masaka, Uganda., Kanyesigye M; Immune Suppression Syndrome Clinic, Mbarara Regional Referral Hospital, Mbarara, Uganda., Wenger M; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA., LeBoit P; Department of Pathology, University of California, San Francisco, San Francisco, CA., McCalmont T; Department of Pathology, University of California, San Francisco, San Francisco, CA.; Golden State Dermatopathology, Walnut Creek, CA., Cesarman E; Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY., Erickson D; Sibley School of Mechanical and Aerospace Engineering, Division of Nutritional Sciences, Cornell University, Ithaca, NY., Maurer T; Department of Dermatology, Indiana University School of Medicine, Indianapolis, IN., Antani S; Division of Intramural Research, National Library of Medicine, Bethesda, MD., Martin J; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA.
Source: JCO global oncology [JCO Glob Oncol] 2026 Mar; Vol. 12 (3), pp. e2500236. Date of Electronic Publication: 2026 Mar 19.
Publication Type: Journal Article
Journal Info: Publisher: American Society of Clinical Oncology Country of Publication: United States NLM ID: 101760170 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2687-8941 (Electronic) Linking ISSN: 26878941 NLM ISO Abbreviation: JCO Glob Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2687-8941
DOI:10.1200/GO-25-00236