EGS-Net: a knowledge-augmented machine learning framework for predicting future high-myopia risk from longitudinal school-screening trajectories - Top-Institutions - MDSpire

EGS-Net: a knowledge-augmented machine learning framework for predicting future high-myopia risk from longitudinal school-screening trajectories

  • By

  • Zhan Tang

  • Na Zhao

  • Zhaoyu Huang

  • Jinhao Lu

  • Chao Dai

  • Jian Wang

  • Runze Zheng

  • June 25, 2026

  • 0 min

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Top Institutions in Ophthalmology

Brief introduction explaining scope and methodology.

  • #1

    Binchuan County
    Binchuan County

    Binchuan, Yunnan

    Key Differentiators

    • Ophthalmology

  • #2

    Wenzhou Medical University
    Wenzhou Medical University

    Wenzhou, Zhejiang

    Key Differentiators

    • Ophthalmology

  • #3

    Vision Professionals
    Vision Professionals

    Unknown, Unknown

    Key Differentiators

    • Ophthalmology

  • #4

    University of Colorado Anschutz Medical Campus
    University of Colorado Anschutz Medical Campus

    Aurora, Colorado

    Key Differentiators

    • Ophthalmology

  • #5

    Colorado AMD Registry
    Colorado AMD Registry

    Unknown, Unknown

    Key Differentiators

    • Ophthalmology

Original Source(s)

EGS-Net: a knowledge-augmented machine learning framework for predicting future high-myopia risk from longitudinal school-screening trajectories

  • by Zhan Tang, Na Zhao, Zhaoyu Huang, Jinhao Lu, Chao Dai, Jian Wang, Runze Zheng

  • June 25, 2026

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