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Making artificial intelligence in medicine a reality

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Manage episode 483017602 series 3610272
Content provided by Arthritis Consumer Experts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arthritis Consumer Experts 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://podcastplayer.com/legal.

In this episode of Arthritis At Home, we are sharing the #CRArthritis interview with Dr. Muhammad Mamdani, Vice President of Data Science and Advanced Analytics at Unity Health Toronto. Dr. Mamdani presented a keynote presentation at this year’s CRA annual scientific meeting called Applied Artificial Intelligence (AI) in Medicine: Moving from Hype to Reality.

Dr. Mamdani provides some real-world examples where AI is already improving patient care and describes some of the biggest challenges or risks when using AI in medicine, and how we can ensure that AI-based decisions are safe and reliable for patients.

Additional learning resource

  continue reading

140 episodes

Artwork
iconShare
 
Manage episode 483017602 series 3610272
Content provided by Arthritis Consumer Experts. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arthritis Consumer Experts 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://podcastplayer.com/legal.

In this episode of Arthritis At Home, we are sharing the #CRArthritis interview with Dr. Muhammad Mamdani, Vice President of Data Science and Advanced Analytics at Unity Health Toronto. Dr. Mamdani presented a keynote presentation at this year’s CRA annual scientific meeting called Applied Artificial Intelligence (AI) in Medicine: Moving from Hype to Reality.

Dr. Mamdani provides some real-world examples where AI is already improving patient care and describes some of the biggest challenges or risks when using AI in medicine, and how we can ensure that AI-based decisions are safe and reliable for patients.

Additional learning resource

  continue reading

140 episodes

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