Interpretable machine learning for severity classification of thyroid eye disease using orbital anatomical features - Top-Institutions - MDSpire

Interpretable machine learning for severity classification of thyroid eye disease using orbital anatomical features

  • By

  • Ruixin Shi

  • Leiming Gao

  • Shengzhi Jiao

  • Liuzi Wang

  • Jianing Li

  • Bei Wang

  • June 19, 2026

  • 0 min

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Top Institutions in Ophthalmology

Brief introduction explaining scope and methodology.

  • #1

    Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine
    Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine

    Shanghai, China

    Key Differentiators

    • Ophthalmology

  • #2

    Beijing Tongren Eye Center, Capital Medical University
    Beijing Tongren Eye Center, Capital Medical University

    Beijing, China

    Key Differentiators

    • Ophthalmology

  • #3

    The First Affiliated Hospital of Dalian Medical University
    The First Affiliated Hospital of Dalian Medical University

    Dalian, China

    Key Differentiators

    • Ophthalmology

  • #4

    Monash University Endocrine Surgery Unit
    Monash University Endocrine Surgery Unit

    Melbourne, Australia

    Key Differentiators

    • Ophthalmology

  • #5

    Hunan Cancer Hospital
    Hunan Cancer Hospital

    Changsha, China

    Key Differentiators

    • Ophthalmology

Original Source(s)

Interpretable machine learning for severity classification of thyroid eye disease using orbital anatomical features

  • by Ruixin Shi, Leiming Gao, Shengzhi Jiao, Liuzi Wang, Jianing Li, Bei Wang

  • June 19, 2026

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