Fundus Photograph-Derived Computational Features Predict Risk of Cardiovascular Events in the Chronic Renal Insufficiency Cohort Clinical Observational Study.
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| Title: | Fundus Photograph-Derived Computational Features Predict Risk of Cardiovascular Events in the Chronic Renal Insufficiency Cohort Clinical Observational Study. |
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| Authors: | Dhamdhere R; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, Georgia., Modanwal G; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, Georgia., Mutha P; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, Georgia., Medina S; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, Georgia., Arepalli S; Emory Eye Center, Emory University, Atlanta, Georgia., Rahman M; Division of Nephrology and Hypertension, Department of Medicine, Case Western Reserve University School of Medicine, Cleveland, Ohio., Al-Kindi S; Department of Cardiology, DeBakey Heart and Vascular Center, Houston Methodist, Houston, Texas., Madabhushi A; The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Emory University, Atlanta, Georgia.; Atlanta Veterans Affairs Medical Center, Atlanta, Georgia. |
| Corporate Authors: | CRIC Study Investigators |
| Source: | Kidney360 [Kidney360] 2026 Jan 01; Vol. 7 (1), pp. 81-93. Date of Electronic Publication: 2025 Aug 18. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wolters Kluwer Health, Inc. on behalf of the American Society of Nephrology Country of Publication: United States NLM ID: 101766381 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2641-7650 (Electronic) Linking ISSN: 26417650 NLM ISO Abbreviation: Kidney360 Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
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