I came across this news which talks about a team of researchers from the University of Vermont and Cedars-Sinai who have discovered high accuracy in predicting the probability of COVID-19 infection using routine blood tests. This can help the hospitals reduce the number of patients referred for scarce PCR testing.
This model was validated on real world data from Cedars-Sinai plus data from geographically and demographically diverse patient encounters from 22 U.S. hospitals. The statistical target of an area under the curve (or AUC) of 0.91 out of 1.00 was achieved(well, this term is a greek for me !!)
I hope that if this research is implemented in real world, it can be useful not only in US but in other countries as well.
News Source :
https://tech.hindustantimes.com/tech/news/researchers-introduce-first-artificial-intelligence-tool-to-detect-covid-19-probability-71607826777746.html






