A new self-learning algorithm can detect blood pumping problems by reading electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was Experiencing Heart Failure.
The special artificial intelligence (AI)-based computer algorithm created by researchers at Mount Sinai (New York, NY, USA) was able to learn how to identify subtle changes in electrocardiograms (also known as ECGs or EKGs) to predict whether a patient was experiencing Heart Failure.
This study represents an exciting step forward in finding information hidden within the ECG data which can lead to better screening and treatment paradigms using a relatively simple and widely available test
Read more: https://www.hospimedica.com/health-it/articles/294790199/new-self-learning-ai-based-algorithm-reads-electrocardiograms-to-spot-unseen-signs-of-heart-failure.html
This post first appeared on The Cost Of Care: How AI Is Revolutionizing Healthcare And Driving Down Prices, please read the originial post: here
