AI Predicts If and When Someone will Experience Cardiac Arrest

Published by Ryan O'Hara on

A new artificial intelligence-based approach can predict if and when a patient could die of cardiac arrest. The technology, built on raw images of patient’s diseased hearts and patient backgrounds, significantly improves on doctor’s predictions and stands to revolutionize clinical decision making and increase survival from sudden and lethal cardiac arrhythmias, one of medicine’s deadliest and most puzzling conditions.

Read the full JHU HUB Press release here

Read the full Nature research article here