Becker's Healthcare April 14, 2022
Clinicians can use AI to screen patients and identify the probability of COVID-19 prior to testing, according to a study published April 13 in ScienceDaily.
Researchers from the College of Health and Human Services at Fairfax, Va.-based George Mason University created algorithms to predict the probability that a patient has COVID-19, the flu, or another respiratory illness prior to testing.
Here’s what they found:
- The algorithms were created by analyzing the symptoms reported by 774 COVID-19 patients in China, 273 COVID-19 patients in the U.S., and 2,885 influenza and 884 influenza-like illnesses in U.S. patients.
- The researchers found that the algorithms helped healthcare providers triage...