Solving the Data Challenge in Ophthalmic AI - Top-Institutions - MDSpire

Solving the Data Challenge in Ophthalmic AI

At ARVO, Cecilia S. Lee, MD, MS, and Aaron Y. Lee, MD, MSCI, discuss barriers to AI deployment in ophthalmology, including interoperability and model development.

  • By

  • Cecilia S. Lee, MD, MS

  • Aaron Y. Lee, MD, MSCI

  • May 1, 2026

  • 4 min

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Top Institutions in Ophthalmology

Brief introduction explaining scope and methodology.

  • #1

    Washington University in St. Louis
    Washington University in St. Louis

    St. Louis, MO

    Key Differentiators

    • Ophthalmology

  • #2

    University of Washington
    University of Washington

    Seattle, WA

    Key Differentiators

    • Ophthalmology

  • #3

    University of Alabama at Birmingham
    University of Alabama at Birmingham

    Birmingham, AL

    Key Differentiators

    • Ophthalmology

  • #4

    University of California, San Diego
    University of California, San Diego

    La Jolla, CA

    Key Differentiators

    • Ophthalmology

  • #5

    Moorfields Eye Hospital
    Moorfields Eye Hospital

    London, England

    Key Differentiators

    • Ophthalmology

Original Source(s)

Solving the Data Challenge in Ophthalmic AI

  • by Cecilia S. Lee, MD, MS, Aaron Y. Lee, MD, MSCI

  • May 1, 2026

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