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Discussing the Ethics of AI and Medical Errors: What Happens When AI Outperforms Radiologists?

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Manage episode 340825918 series 3290342
Indhold leveret af DaVinci Academy. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af DaVinci Academy eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode Maxwell Cooper, M.D. talks with Medical Ethicist and Emory University Professor John Banja, Ph.D. about the ethics of AI and medical errors, specifically what will happen when AI can outperform radiologists? Professor Banja has spent much of his career looking at the ethics involved in medical errors and recently has turned his focus to AI and radiology. He hosts the AI, Radiology and Ethics Podcast where he interviews leading radiologists and AI experts on ethical issues we will face with AI in the near future. The discussion during this episode looks at a number of medical error scenarios involving a future AI model that could perform at the same level as a radiologist. Specifically, Dr. Cooper and Professor Banja examine who would be liable in these scenarios, how these errors could be mitigated, and how these errors could be prevented.

*Views expressed in this podcast are those of the individuals, not their respective institutions

**Thank you to our sponsor Doc2Doc Lending, the Personal Lending platform designed for Doctors, by Doctors. Check out https://doc2doclending.com/davinci to learn more today.

John Banja, Ph.D.

https://ethics.emory.edu/who-we-are/our-people/faculty/core/banja-john.html

https://twitter.com/john_banja

AI, Radiology and Ethics Podcast: https://anchor.fm/airadiologyethics

The DaVinci Hour Podcast

Website: https://www.dviacademy.com/the-davinci-hour

LinkedIn: https://www.linkedin.com/company/the-davinci-hour/

DaVinci Academy

YouTube: https://www.youtube.com/c/DaVinciAcademyMed/

Website: https://www.dviacademy.com/

  continue reading

73 episoder

Artwork
iconDel
 
Manage episode 340825918 series 3290342
Indhold leveret af DaVinci Academy. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af DaVinci Academy eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

In this episode Maxwell Cooper, M.D. talks with Medical Ethicist and Emory University Professor John Banja, Ph.D. about the ethics of AI and medical errors, specifically what will happen when AI can outperform radiologists? Professor Banja has spent much of his career looking at the ethics involved in medical errors and recently has turned his focus to AI and radiology. He hosts the AI, Radiology and Ethics Podcast where he interviews leading radiologists and AI experts on ethical issues we will face with AI in the near future. The discussion during this episode looks at a number of medical error scenarios involving a future AI model that could perform at the same level as a radiologist. Specifically, Dr. Cooper and Professor Banja examine who would be liable in these scenarios, how these errors could be mitigated, and how these errors could be prevented.

*Views expressed in this podcast are those of the individuals, not their respective institutions

**Thank you to our sponsor Doc2Doc Lending, the Personal Lending platform designed for Doctors, by Doctors. Check out https://doc2doclending.com/davinci to learn more today.

John Banja, Ph.D.

https://ethics.emory.edu/who-we-are/our-people/faculty/core/banja-john.html

https://twitter.com/john_banja

AI, Radiology and Ethics Podcast: https://anchor.fm/airadiologyethics

The DaVinci Hour Podcast

Website: https://www.dviacademy.com/the-davinci-hour

LinkedIn: https://www.linkedin.com/company/the-davinci-hour/

DaVinci Academy

YouTube: https://www.youtube.com/c/DaVinciAcademyMed/

Website: https://www.dviacademy.com/

  continue reading

73 episoder

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