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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40824712 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40824712 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.34067/KID.0000000955 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 81 Titles: – TitleFull: Fundus Photograph-Derived Computational Features Predict Risk of Cardiovascular Events in the Chronic Renal Insufficiency Cohort Clinical Observational Study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Dhamdhere R – PersonEntity: Name: NameFull: Modanwal G – PersonEntity: Name: NameFull: Mutha P – PersonEntity: Name: NameFull: Medina S – PersonEntity: Name: NameFull: Arepalli S – PersonEntity: Name: NameFull: Rahman M – PersonEntity: Name: NameFull: Al-Kindi S – PersonEntity: Name: NameFull: Madabhushi A IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2026 Jan 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2641-7650 Numbering: – Type: volume Value: 7 – Type: issue Value: 1 Titles: – TitleFull: Kidney360 Type: main |
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