Cardiology collaboration advances machine learning predictions for AFib after stroke

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more accurate predictions. A team of artificial intelligence engineers, in collaboration with a team of physicians from Penn State Heart and Vascular Institute, is working to develop novel algorithms for point-of-care, in-house use and for technology licensing.

This article was originally published on MedicalXpress.com

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