Johns Hopkins radiologists have repurposed a deep learning algorithm designed to detect tuberculosis on chest x-rays to, instead, help identify COVID-19.

The European Union has certified AI software for reading mammograms, clearing the way for a South Korea-based AI vendor to sell another of its AI products across the European Economic Area.

A vendor that supplies EHR software to public health agencies is partnering with a health-tech startup in the cloud-communications space to equip state and local governments for managing their response to the COVID-19 crisis.

If a medical AI algorithm performs well, why let the proverbial black box undermine confidence in it?

 

Healthcare providers are still asking the Trump administration for help securing personal protective equipment (PPE) as they continue to care for COVID-19 patients.

As part of its $5 million pandemic response, Amazon is placing more than 8,000 of its Echo Dot devices across dozens of senior-living facilities in parts of California and Washington State.

Cigna, one of the nation’s largest health insurance companies, has expanded its virtual support services for mental and emotional health by adding Talkspace to its behavioral provider network.

It was late April when the CDC added impaired taste and/or smell to its list of COVID-19 symptoms. Thanks to AI and natural language processing (NLP), researchers at the Medical University of South Carolina had beaten the federal agency to the punch.