An MIT AI reporter considers the COVID-countering volunteerism of, among others, the founder of a machine-learning startup. He entered the fray when he saw that his parents weren’t getting it about the need to practice social distancing.

A physician working from home during the COVID-19 crisis may offer cybercriminals a tantalizing target. Taking note of the heightened threat, the AMA and AHA have put together guidance to help foil would-be offenders.

Researchers have used computational modeling and a machine-learning approach to predict electrotoxicity in the heart “from the atom to the rhythm.”

According to the company, its newly approved AI model can play a role in helping hospitals triage patients with suspected COVID-19.

Intermountain Healthcare, the sprawling 24-hospital system based in Utah, is partnering with a supplier of healthcare-specific virtual assistants to offer patients an automated COVID-19 interface on Intermountain’s homepage.

The COVID-19 crisis is inspiring all manner of loudly touted innovations aimed at leveraging AI to beat back, stamp out or otherwise contain the pandemic. Some watchers aren’t convinced the efforts are worthy of the attention they’re getting.

Ferrum Health, a San Francisco-based healthcare technology company, has closed a funding round worth $9 million.

Researchers from West Virginia University have launched a new study aimed at identifying healthcare workers infected with the new coronavirus before they become symptomatic.

The trio’s platform is designed to help healthcare providers quickly find out where their locality stands on things like ventilator utilization, testing results ICU bed availability and COVID patient discharges.

In the first quarter of this year, investors injected a cool $3.1 billion into venture funding for digital health. Then came COVID-19. What will those investors do now?