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Why is AI still so hard to implement in hospitals?—with Mika Newton

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Manage episode 477178572 series 3546701
Content provided by xCures. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by xCures 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://staging.podcastplayer.com/legal.

AI has the potential to transform healthcare, but adoption remains slow. Outdated IT infrastructure, strict data policies, high implementation costs, and concerns around bias and model performance all stand in the way. Scaling AI in hospitals requires more than just promising tools - it demands infrastructure that supports ongoing governance, transparency, and real-world impact.

  continue reading

101 episodes

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iconShare
 
Manage episode 477178572 series 3546701
Content provided by xCures. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by xCures 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://staging.podcastplayer.com/legal.

AI has the potential to transform healthcare, but adoption remains slow. Outdated IT infrastructure, strict data policies, high implementation costs, and concerns around bias and model performance all stand in the way. Scaling AI in hospitals requires more than just promising tools - it demands infrastructure that supports ongoing governance, transparency, and real-world impact.

  continue reading

101 episodes

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