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?

Researchers have developed an AI algorithm that can scan the chest x-rays of COVID-19 patients for signs of pneumonia.

The images are rendered from CT scans and allow viewers to navigate the lungs in 360-degree tours, as demonstrated in a video podcast posted by George Washington University Hospital.

Computer scientists in Canada and the U.S. have built an AI-powered search engine for clinicians and researchers engaged in the battle against COVID-19.

Microsoft CTO Kevin Scott surely didn’t see the coronavirus coming when he was writing his new book on AI. But with the title’s April 7 release, he’s perceiving the pandemic as equal parts threat and opportunity.

Jefferson Health, the 14-hospital system serving the Philadelphia area, is using a new conversational chatbot to take questions from members of the community looking for information on COVID-19.

Stanford researchers had been working for years on an AI-powered system to monitor elderly patients at home when the coronavirus outbreak became a global crisis. Now their work is not just nifty but needed.

As the research mounts on AI matching or besting radiologists in discrete interpretive tasks, so does the excitement in the popular press. Now comes a study showing many of these studies only invite the hype.  

A machine able to interpret diagnostic imaging studies better than radiologists has long been foreseen, yet its arrival comes almost as a surprise. We have underestimated the potential of AI to perform the kinds of work we do.