3 Topic Commentaries

Multidisease Detection from Fundus Imaging

Multidisease Detection from Fundus Imaging

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  Michael V. McConnell, MD

  Cardiology

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  Stanford University

  The image of the back of your eye has a wealth of health information. We can analyze these images with AI to help people become aware of their risk and have the opportunity to get guideline-based evaluation and preventive therapy.

  Source
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  Neil M. Bressler, MD

  Ophthalmology (Retina)

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  Johns Hopkins Medicine, Wilmer Eye Institute

  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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  Stanford University School of Medicine, Byers Eye Institute

  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