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Real-World Performance of AI in Screening for Diabetic Retinopathy

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Manage episode 477731520 series 1512525
Content provided by American Medical Association and JAMA Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by American Medical Association and JAMA Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Diabetic retinopathy remains a leading cause of preventable blindness worldwide, and AI may facilitate screening, if such models continue to perform well when they are deployed in the real world. Coauthors Arthur Brant, MD, of Stanford University, and Sunny Virmani, MS, of Google join JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss a new study published in JAMA Network Open. Related Content:

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239 episodes

Artwork
iconShare
 
Manage episode 477731520 series 1512525
Content provided by American Medical Association and JAMA Network. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by American Medical Association and JAMA Network or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Diabetic retinopathy remains a leading cause of preventable blindness worldwide, and AI may facilitate screening, if such models continue to perform well when they are deployed in the real world. Coauthors Arthur Brant, MD, of Stanford University, and Sunny Virmani, MS, of Google join JAMA+ AI Editor in Chief Roy H. Perlis, MD, MSc, to discuss a new study published in JAMA Network Open. Related Content:

  continue reading

239 episodes

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