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.

A new AI model can help radiologists distinguish COVID-19 from non-COVID 19 pneumonia when reading chest CT examinations.

IBM has launched a blockchain-based network for healthcare organizations and government agencies looking to quickly find and hire alternative supply-chain sources during the public-health crisis set off by the COVID-19 outbreak.

Several healthcare AI companies rank among the “top 25 machine learning startups to watch in 2020” in the view of a senior contributor at Forbes.com.

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

Residents of Florida’s largest retirement community are soon to receive their meds by unmanned aerial vehicles.

For champions of AI in healthcare, the COVID-19 crisis affords an unignorable opportunity to trumpet the technology’s current contributions while directing attention to its potential for helping fight public-health crises to come.

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.

Glioma patients typically need a biopsy so physicians can make a treatment decision, but researchers have developed a new AI algorithm that could make such biopsies unnecessary. 

Sometimes there’s real progress behind the slick pitch.