Predictive Models Utilizing Machine Learning for Visual Impairment in Chinese Adults Aged 45 and Older with Cardiovascular Metabolic Conditions: Insights from a Population-Based Analysis Using CHARLS - Top-Institutions - MDSpire

Predictive Models Utilizing Machine Learning for Visual Impairment in Chinese Adults Aged 45 and Older with Cardiovascular Metabolic Conditions: Insights from a Population-Based Analysis Using CHARLS

  • By

  • Yuhao Liu

  • Riyan Zhang

  • Duoduo Xie

  • Min Liu

  • Guanshun Yu

  • Zhong Lin

  • Jia Qu

  • Ronghan Wu

  • December 30, 2025

  • 0 min

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Top Institutions in Ophthalmology

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Ophthalmology
    • Cardiology
    • Endocrinology
    • Biomedical Engineering

  • #2

    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

    Cambridge, MA

    Key Differentiators

    • Machine Learning
    • Biomedical Informatics
    • Ophthalmology Collaborations

  • #3

    Moorfields Eye Hospital NHS Foundation Trust / UCL Institute of Ophthalmology
    Moorfields Eye Hospital NHS Foundation Trust / UCL Institute of Ophthalmology

    London, UK

    Key Differentiators

    • Ophthalmology
    • Medical Informatics
    • Population Health

  • #4

    Peking University Health Science Center
    Peking University Health Science Center

    Beijing, China

    Key Differentiators

    • Ophthalmology
    • Epidemiology
    • Cardiometabolic Disease

  • #5

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Ophthalmology
    • Endocrinology
    • Biomedical Data Science

Original Source(s)

Predictive Models Utilizing Machine Learning for Visual Impairment in Chinese Adults Aged 45 and Older with Cardiovascular Metabolic Conditions: Insights from a Population-Based Analysis Using CHARLS

  • by Yuhao Liu, Riyan Zhang, Duoduo Xie, Min Liu, Guanshun Yu, Zhong Lin, Jia Qu, Ronghan Wu

  • December 30, 2025

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