The algorithm's sensitivity edged out that of trained radiologists at identifying signs of the disease on chest CT scans, Mount Sinai researchers explained recently.

Johns Hopkins has scored a $195,000 grant from the National Science Foundation, with its scientists now beginning the first phase of the one-year research project.

That’s according to the results of a new investigation, led by University of Cambridge experts and published 
in the Proceedings of the National Academy of Sciences. 
 

If validated further, the algorithm could be used to flag urgent scans in radiology workflows, especially in resource-strapped regions.

With further testing and validation, Hyungjin Kim, with Seoul’s National University College of Medicine and colleagues believe radiologists may one day use the tool to individualize treatment and achieve better outcomes.

The algorithm, developed as part of a collaboration with Mayo Clinic, received Breakthrough Device designation back in December 2019.

"Using this new tool may uncover the characteristics of different types of clots that were previously unrecognized by humans," researchers wrote in the journal eLife.

Abnormalities were most commonly seen in sicker patients with the virus who were also admitted to the intensive care unit, according to recent research.