5 Topic Commentaries

Bringing AI Into Cataract Care

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  Ruti Sella, MD

  Ophthalmology (Cataract/IOL calculations)

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  Mayo Clinic, Rochester, Minnesota

  "Harnessing the use of AI to build better formulas that can learn and develop with time and additional data is a key step in moving forward," says Dr. Sella.

  Source
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  Nambi Nallasamy, MD

  Cornea and Cataract Surgery; AI for IOL power selection

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  W.K. Kellogg Eye Center, University of Michigan

  “In ML, computers ‘learn’ from processing data sets far larger and more multifaceted than a human mind can absorb,” he explains.

  Source
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  Robert Chang, MD

  Cataract and Glaucoma; Clinical AI implementation

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  Byers Eye Institute, Stanford University

  “I'm trying to help other doctors recognize how powerful AI tools are becoming. It is up to us to implement the technology in a safe way to benefit patients and physicians alike.”

  Source
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  Bradford L. Tannen, MD, JD

  Ophthalmology (Cataract surgery education and surgical performance analytics)

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  W.K. Kellogg Eye Center, University of Michigan

  “We thought, what we’re doing isn’t ideal,” says Dr. Tannen. “Why don’t we use AI and machine learning to capture and extract data from surgeries and share it with our residents? The data would be compared to patient outcomes to determine the most effective procedures. Essentially, the data will show what makes a good surgeon.”

  Source
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  Shameema Sikder, MD

  Cornea and Cataract Surgery; Ophthalmic Surgical Education

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  Wilmer Eye Institute, Johns Hopkins Medicine

  “Today, our research is focused on being able to elevate the standards of surgical care through surgical training by using technology to make better surgeons,” Sikder says.

  Source