More than half of Americans, 54%, have seen doctors remotely during the COVID crisis. However, some 48% might not touch telehealth again if their data were to get hacked during a telehealth-related breach.

Machine learning is playing a key role in predicting all major forms of drug cardiotoxicity, potentially helping reduce late-stage clinical trial failures.

South Korean researchers are working on packing the ability to monitor heart health and detect signs of atrial fibrillation into what might be the smallest cardiology wearable to date: a “smart ring.”

The promise of artificial intelligence to revolutionize healthcare is the topic of increasing research, with new publications every day devoted to the topic. One of these applications, according to an April 1 article in The Wall Street Journal, is using AI to listen to a person’s voice and detect a range of mental and physical ailments, including coronary artery disease (CAD).

A new AI software can quickly and accurately determine the manufacturer and model of a cardiac rhythm device from an x-ray, possibly speeding up treatment when the devices fail.

U.K.-based startup Cambridge Heartware has announced the launch of its company and its first product, a wearable heart monitor powered by artificial intelligence, in early 2019.