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Mind Seeker: Exploring the Recovery of Consciousness

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Manage episode 466011319 series 3645759
Content provided by NewYork-Presbyterian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by NewYork-Presbyterian 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.

Whether a patient will ultimately recover from an unconscious state after brain injury isn’t easy to predict– yet. But Dr. Jan Claassen is working to change that. He describes the staggering revelations of his study on Cognitive Motor Dissociation, and how his team used a combination of widely available diagnostic tools and open source machine learning algorithms, to detect signs of consciousness in seemingly unconscious patients. Dr. Claassen also discusses his ongoing RECONFIG study, in which he hopes to refine tools that could predict the likelihood of recovery in patients following brain injury.

For more information visit nyp.org/Advances

  continue reading

38 episodes

Artwork
iconShare
 
Manage episode 466011319 series 3645759
Content provided by NewYork-Presbyterian. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by NewYork-Presbyterian 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.

Whether a patient will ultimately recover from an unconscious state after brain injury isn’t easy to predict– yet. But Dr. Jan Claassen is working to change that. He describes the staggering revelations of his study on Cognitive Motor Dissociation, and how his team used a combination of widely available diagnostic tools and open source machine learning algorithms, to detect signs of consciousness in seemingly unconscious patients. Dr. Claassen also discusses his ongoing RECONFIG study, in which he hopes to refine tools that could predict the likelihood of recovery in patients following brain injury.

For more information visit nyp.org/Advances

  continue reading

38 episodes

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