Robust and interpretable unit level causal inference in neural networks for pediatric myopia - Top-Institutions - MDSpire

Robust and interpretable unit level causal inference in neural networks for pediatric myopia

  • By

  • Zihui Jin

  • Mengtian Kang

  • Wuyan Zhao

  • Wenjin Gui

  • He Li

  • Yongfang Tu

  • Yongjun Huo

  • Canqing Yu

  • Weihua Song

  • Ningli Wang

  • Xu Yang

  • Shi-Ming Li

  • February 19, 2026

  • 0 min

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Top Institutions in Ophthalmology

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins Wilmer Eye Institute
    Johns Hopkins Wilmer Eye Institute

    Baltimore, MD

    Key Differentiators

    • Pediatric Ophthalmology
    • Ophthalmic Epidemiology
    • Medical AI

  • #2

    Bascom Palmer Eye Institute, University of Miami
    Bascom Palmer Eye Institute, University of Miami

    Miami, FL

    Key Differentiators

    • Pediatric Ophthalmology
    • Myopia Research
    • Clinical AI

  • #3

    Zhongshan Ophthalmic Center, Sun Yat-sen University
    Zhongshan Ophthalmic Center, Sun Yat-sen University

    Guangzhou, Guangdong

    Key Differentiators

    • Ophthalmic Epidemiology
    • Pediatric Myopia
    • AI in Ophthalmology

  • #4

    Massachusetts Eye and Ear Infirmary, Harvard Medical School
    Massachusetts Eye and Ear Infirmary, Harvard Medical School

    Boston, MA

    Key Differentiators

    • Ophthalmology
    • Pediatric Eye Disease
    • Biomedical AI

Original Source(s)

Robust and interpretable unit level causal inference in neural networks for pediatric myopia

  • by Zihui Jin, Mengtian Kang, Wuyan Zhao, Wenjin Gui, He Li, Yongfang Tu, Yongjun Huo, Canqing Yu, Weihua Song, Ningli Wang, Xu Yang, Shi-Ming Li

  • February 19, 2026

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