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The Ophthalmologist / Issues / 2026 / June / Standardizing AI for Dry Eye
Cornea Research & Innovations News

Standardizing AI for Dry Eye

Expert consensus aims to set professional standards for the use of AI in dry eye diagnosis, monitoring, and personalized treatment

6/29/2026 2 min read

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  • Top Institutions
Top Institutions in Ophthalmology

Ranking combines internal corpus citation frequency with web search results due to limited internal data for this topic.

  • #1

    Bascom Palmer Eye Institute, University of Miami

    Miami, Florida

    Ranked the No. 1 U.S. hospital for Ophthalmology by U.S. News & World Report for 2024–2025 and 2025–2026. Involved in AI labeling workflows and clinical trials related to ocular surface and dry eye.

    Key Differentiators

    • Ophthalmology
  • #2

    Herbert Wertheim School of Optometry & Vision Science, University of California, Berkeley

    Berkeley, California

    Published an AI framework for standardizing meibography image analysis, linking curated datasets with real-world images. Recognized for NIH-supported research.

    Key Differentiators

    • Optometry
    • Vision Science
  • #3

    Tear Film & Ocular Surface Society

    Not specified, Not specified

    Known for the DEWS II protocol, which is significant in the context of dry eye disease standardization.

    Key Differentiators

    • Ophthalmology

This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.

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