Artificial intelligence-based quantification of retinal microvascular biomarkers from fundus photography of chronic kidney disease: a case-control study - Top-Institutions - MDSpire

Artificial intelligence-based quantification of retinal microvascular biomarkers from fundus photography of chronic kidney disease: a case-control study

  • By

  • Qiumei Gu

  • Min Liu

  • Weiwei Zhang

  • Zhengju Chen

  • Xingye Wang

  • Jie Wang

  • Ziyan He

  • Fang Lu

  • May 18, 2026

  • 0 min

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Top Institutions in Nephrology

Brief introduction explaining scope and methodology.

  • #1

    West China Hospital, Sichuan University
    West China Hospital, Sichuan University

    Chengdu, Sichuan

    Key Differentiators

    • Ophthalmology

  • #2

    Bascom Palmer Eye Institute
    Bascom Palmer Eye Institute

    Miami, Florida

    Key Differentiators

    • Ophthalmology

  • #3

    University of Miami
    University of Miami

    Miami, Florida

    Key Differentiators

    • Ophthalmology

  • #4

    English National Health Service (NHS)
    English National Health Service (NHS)

    London, England

    Key Differentiators

    • Ophthalmology

  • #5

    Scottish health system
    Scottish health system

    Edinburgh, Scotland

    Key Differentiators

    • Ophthalmology

Original Source(s)

Artificial intelligence-based quantification of retinal microvascular biomarkers from fundus photography of chronic kidney disease: a case-control study

  • by Qiumei Gu, Min Liu, Weiwei Zhang, Zhengju Chen, Xingye Wang, Jie Wang, Ziyan He, Fang Lu

  • May 18, 2026

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