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Leveraging Machine Learning to Hone Treatment Planning, Real-Time Clinical Feedback

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Content provided by Xtelligent Healthcare Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Xtelligent Healthcare Media 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://cloudutil.player.fm/legal.

The proliferation of artificial intelligence in healthcare has led to increased interest in more advanced computing and analytics technologies, such as machine learning, for medical research and clinical care. Machine learning, in particular, may help researchers gain insights into human diseases through the use of biomedical simulation and high-performance computing. Amanda Randles, an Assistant Professor of Biomedical Sciences at Duke University, discusses these applications and how machine learning can help improve treatment planning and allow real-time feedback for physicians.

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167 episodes

iconShare
 
Manage episode 356467862 series 2797294
Content provided by Xtelligent Healthcare Media. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Xtelligent Healthcare Media 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://cloudutil.player.fm/legal.

The proliferation of artificial intelligence in healthcare has led to increased interest in more advanced computing and analytics technologies, such as machine learning, for medical research and clinical care. Machine learning, in particular, may help researchers gain insights into human diseases through the use of biomedical simulation and high-performance computing. Amanda Randles, an Assistant Professor of Biomedical Sciences at Duke University, discusses these applications and how machine learning can help improve treatment planning and allow real-time feedback for physicians.

  continue reading

167 episodes

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