Understood as a virtual army in the war against COVID-19, AI has vast stockpiles of potential weaponry with which to wage many a battle. That’s the good news.

Clinicians equipped with machine learning can, in theory, apply what works for one patient to the care of another—and another, and another—and so on.

When applying AI to help answer clinical questions, developers, researchers and clinicians should all remain mindful of the difference between interpretability and explainability.

A group of students at Cornell University has developed a new face mask design that monitors the wearer’s vital signs.

“Artificial intelligence in precision medical imaging and diagnostics” is among several areas of concentration for which the University of Wisconsin-Madison will be making cluster hires over a period of at least two years.

Babylon is partnering with Mount Sinai Health Partners to bring its AI-powered digital healthcare solution to New York. 

A supplier of remote patient monitoring technology is working with the Mayo Clinic to speed up diagnosis of COVID-19 and predict its course in stricken patients using AI.

The educational technology company Ascend Learning is offering clinical simulations and virtual training modules free of charge through May 15.

Cleveland Clinic and the analytics software vendor SAS have jointly developed predictive models to help hospitals prepare for three COVID-19 scenarios—worst case, best case and most likely.

Microsoft has debuted a new AI solution that could help slow the spread of the new coronavirus.

Unlearn.AI, a San Francisco-based AI technology company, has raised $12 million in Series A financing.

The feat may offer a way for physicians to watch for signs of deterioration in patients who have too mild a case of the disease to warrant hospitalization but may need quick response if the condition worsens.