A deep learning model has achieved human-level proficiency in three of five exercises, accurately categorizing verbal expressions from more than 33,000 talk-therapy patients who underwent their sessions online.
People have been anticipating the demise of radiologists for years, speculating that AI will soon be interpreting imaging results with the precision of a seasoned veteran.
While COVID-19 was dominating the headlines in March and April, other causes accounted for 35% of excess deaths in the U.S., according to findings published July 1 in JAMA.
Despite the growing number of patients using such technology, only 21% are talking with their providers about how to correspond digitally, and it may be hindering more widespread adoption.
Decontaminating PPE for frontline healthcare workers—and potentially astronauts—is the mission as the National Aeronautics and Space Administration tests two new ways to sanitize reusable masks during the coronavirus pandemic.
The COVID crisis has significantly increased the volume of data healthcare providers are rushing into the cloud. This “smash and grab” behavior is largely explained by the spike in healthcare workers doing their jobs remotely.
Researchers at Boston’s Beth Israel Deaconess Medical Center are sharing insights they gained while building a locally focused, AI-aided model for anticipating COVID-19’s next moves.