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10. Application of Machine Learning to Cardiac Imaging
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MIT 6.S897 Machine Learning for Healthcare, Spring 2019 - 10. Application of Machine Learning to Cardiac Imaging

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  • 31 hours of video
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00:00MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Rahul Deo View the complete course: https://ocw.mit.edu/6-S897S19 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60B0PQXVQyGNdCyCTDU1Q5j Guest lecturer Rahul Deo, the lead investigator of the One Brave Idea project at Brigham and Women's Hospital, talks about how machine learning techniques are being used and can be used further to augment cardiac imaging. Chapters 00:00 Info about cardiology and heart diseases 15:22 How medical imaging data are stored 19:15 Machine learning in cardiac disease 30:33 Image registration 35:19 Failure and Disease progression using 39:04 Machine learning in cardiac disease - what should be focusing on? 50:09 Are clinicians really a gold standard? 53:35 Automated Disease Detection - What's the point? 1:01:20 What's Next - Clinical Deployment!!! 1:09:57 Questions and challenges License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu

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