New AI-Based Algorithm Spots Unseen Signs of Heart Failure

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