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The Ophthalmologist / Issues / 2026 / January / Optimizing nAMD Treatment with AI
Latest Retina Interview

Optimizing nAMD Treatment with AI

Jeffry Hogg and Pearse Keane discuss how AI might be used to detect existing treatment gaps in age-related macular degeneration

1/2/2026 5 min read

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  • Top Institutions
Top Institutions in Ophthalmology

Leading institutions integrate AI with multimodal imaging data, including OCT from various manufacturers, to develop and validate AI models that support clinical decision-making in nAMD treatment. Collaborative efforts often combine clinical expertise with AI research and large datasets to ensure generalizability and clinical utility.

  • #1

    Moorfields Eye Hospital

    London, England

    Moorfields Eye Hospital is a global leader in ophthalmic research and clinical care, pioneering AI applications in retinal diseases including nAMD. Their collaboration with UCL and industry partners like Google DeepMind enhances their capacity to develop clinically validated AI tools.

    Key Differentiators

    • Ophthalmology
    • Retina
    • Medical AI
  • #2

    University College London (UCL) Institute of Ophthalmology

    London, England

    UCL Institute of Ophthalmology is renowned for its translational research in retinal diseases and AI, working closely with Moorfields Eye Hospital to integrate AI into clinical workflows for diseases like nAMD.

    Key Differentiators

    • Ophthalmology
    • Biomedical Engineering
    • AI Research
  • #3

    Massachusetts Eye and Ear Infirmary, Harvard Medical School

    Boston, MA

    Massachusetts Eye and Ear is a leading US center for retinal disease research and AI applications, with strong expertise in OCT imaging and AI-driven diagnostics for macular degeneration.

    Key Differentiators

    • Ophthalmology
    • Retina
    • Medical Imaging AI
  • #4

    Johns Hopkins Wilmer Eye Institute

    Baltimore, MD

    Wilmer Eye Institute is recognized for its innovative research in retinal diseases and AI, contributing to the development of AI algorithms for OCT analysis and nAMD treatment guidance.

    Key Differentiators

    • Ophthalmology
    • Retina
    • AI and Imaging

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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