Becker's Healthcare April 14, 2022
Naomi Diaz

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...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Healthcare System, Patient / Consumer, Provider, Public Health / COVID, Survey / Study, Technology, Trends
Google goes all in with AI as it merges research teams
Is Mental Health ready for Generative AI?
Opinion: STAT+: How AI can help satisfy FDA’s drug, device diversity requirements
IoT, AI and the cloud: The holy trinity to green your digital ecosystem
Meta unveils Llama 3, claims it’s the ‘most capable’ open LLM

Share This Article