4 Topic Commentaries

The Impact of Artificial Intelligence in Ophthalmology

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  T.Y. Alvin Liu, MD

  Ophthalmology

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  Wilmer Eye Institute, Johns Hopkins Medicine

  AI holds the promise of transforming much of ophthalmology, and Wilmer is at the forefront of it,”

  Source
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  Neil M. Bressler, MD

  Ophthalmology

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  Wilmer Eye Institute, Johns Hopkins Medicine

  We discovered AI could estimate BCVA from fundus photographs without refracting human beings or having them read an eye chart — usually within 10 letters [on a standardized eye chart] of the actual BCVA. Recent work is getting close to the goal of within 5 letters across many retinal diseases,”

  Source
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  David Myung, MD, PhD

  Ophthalmology

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  Byers Eye Institute, Stanford University School of Medicine

  In ophthalmology, many clinical decisions are based on some sort of image, where other fields are more apt to use lab results. An amazing amount of research and development has gone toward using AI to read ocular images, which led to the first-ever FDA approval for AI-based disease detection.”

  Source
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  Theodore Leng, MD, MS

  Ophthalmology (Retina)

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  Byers Eye Institute, Stanford University School of Medicine

  Being able to detect disease earlier and intervene when we can actually turn things around and preserve vision is what is really important,”

  Source