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Machine Learning to Diagnose Complications of Diabetes.

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Title: Machine Learning to Diagnose Complications of Diabetes.
Authors: Scheideman AF; Diabetes Technology Society, Burlingame, CA, USA., Shao MM; Diabetes Technology Society, Burlingame, CA, USA., Zelada H; Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA., Cuadros J; EyePACS, Inc., Santa Cruz, CA, USA.; Herbert Wertheim School of Optometry & Vision Science, University of California, Berkeley, Berkeley, CA, USA., Foreman J; EyePACS, Inc., Santa Cruz, CA, USA.; Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia.; Ophthalmology Department of Surgery, University of Melbourne, Melbourne, VIC, Australia., Sarder P; Computational Microscopy Imaging Laboratory, Section of Quantitative Health, Department of Medicine, University of Florida, Gainesville, FL, USA., Ho C; Diabetes Technology Society, Burlingame, CA, USA., Ejskjaer N; Steno Diabetes Center North Denmark and Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark., Fleischer J; Steno Diabetes Center Zealand, Holbaek, Denmark.; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark., Cichosz SL; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark., Armstrong DG; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA., Mathioudakis N; Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Wang T; Department of Genetics, Stanford University, Stanford, CA, USA., Tham YC; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Klonoff DC; Diabetes Research Institute, Mills-Peninsula Medical Center (Sutter Health), San Mateo, CA, USA.
Source: Journal of diabetes science and technology [J Diabetes Sci Technol] 2025 Nov; Vol. 19 (6), pp. 1650-1670. Date of Electronic Publication: 2025 Sep 11.
Publication Type: Journal Article; Review
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
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  Data: Machine Learning to Diagnose Complications of Diabetes.
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  Data: <searchLink fieldCode="AU" term="%22Scheideman+AF%22">Scheideman AF</searchLink>; Diabetes Technology Society, Burlingame, CA, USA.<br /><searchLink fieldCode="AU" term="%22Shao+MM%22">Shao MM</searchLink>; Diabetes Technology Society, Burlingame, CA, USA.<br /><searchLink fieldCode="AU" term="%22Zelada+H%22">Zelada H</searchLink>; Division of Endocrinology, Diabetes & Metabolism, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Cuadros+J%22">Cuadros J</searchLink>; EyePACS, Inc., Santa Cruz, CA, USA.; Herbert Wertheim School of Optometry & Vision Science, University of California, Berkeley, Berkeley, CA, USA.<br /><searchLink fieldCode="AU" term="%22Foreman+J%22">Foreman J</searchLink>; EyePACS, Inc., Santa Cruz, CA, USA.; Centre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia.; Ophthalmology Department of Surgery, University of Melbourne, Melbourne, VIC, Australia.<br /><searchLink fieldCode="AU" term="%22Sarder+P%22">Sarder P</searchLink>; Computational Microscopy Imaging Laboratory, Section of Quantitative Health, Department of Medicine, University of Florida, Gainesville, FL, USA.<br /><searchLink fieldCode="AU" term="%22Ho+C%22">Ho C</searchLink>; Diabetes Technology Society, Burlingame, CA, USA.<br /><searchLink fieldCode="AU" term="%22Ejskjaer+N%22">Ejskjaer N</searchLink>; Steno Diabetes Center North Denmark and Department of Endocrinology, Aalborg University Hospital, Aalborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Fleischer+J%22">Fleischer J</searchLink>; Steno Diabetes Center Zealand, Holbaek, Denmark.; Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.<br /><searchLink fieldCode="AU" term="%22Cichosz+SL%22">Cichosz SL</searchLink>; Department of Health Science and Technology, Aalborg University, Aalborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Armstrong+DG%22">Armstrong DG</searchLink>; Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Mathioudakis+N%22">Mathioudakis N</searchLink>; Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA.<br /><searchLink fieldCode="AU" term="%22Wang+T%22">Wang T</searchLink>; Department of Genetics, Stanford University, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Tham+YC%22">Tham YC</searchLink>; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.<br /><searchLink fieldCode="AU" term="%22Klonoff+DC%22">Klonoff DC</searchLink>; Diabetes Research Institute, Mills-Peninsula Medical Center (Sutter Health), San Mateo, CA, USA.
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              Text: 2025 Nov
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