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Artificial Intelligence to Diagnose Complications of Diabetes.

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Title: Artificial Intelligence to Diagnose Complications of Diabetes.
Authors: Ayers AT; Diabetes Technology Society, Burlingame, CA, USA., Ho CN; Diabetes Technology Society, Burlingame, CA, USA., Kerr D; Center for Health Systems Research, Sutter Health, Santa Barbara, CA, USA., Cichosz SL; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark., Mathioudakis N; School of Medicine, Johns Hopkins University, Baltimore, MD, USA., Wang M; University of California, San Francisco, San Francisco, CA, USA., Najafi B; Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.; Center for Advanced Surgical and Interventional Technology (CASIT), Department of Surgery, Geffen School of Medicine, University of California, Los Angeles (UCLA), Los Angeles, CA, USA., Moon SJ; Division of Endocrinology and Metabolism, Department of Internal Medicine, Kangbuk Samsung Hospital, School of Medicine, Sungkyunkwan University, Seoul, Republic of Korea., Pandey A; Division of Cardiology and Geriatrics, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, USA., Klonoff DC; Diabetes Technology Society, Burlingame, CA, USA.; Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA.
Source: Journal of diabetes science and technology [J Diabetes Sci Technol] 2025 Jan; Vol. 19 (1), pp. 246-264. Date of Electronic Publication: 2024 Nov 22.
Publication Type: Journal Article; Review; Research Support, N.I.H., Extramural
Journal Info: Publisher: Sage Country of Publication: United States NLM ID: 101306166 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1932-2968 (Electronic) Linking ISSN: 19322968 NLM ISO Abbreviation: J Diabetes Sci Technol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1932-2968
DOI:10.1177/19322968241287773