Medical Xpress May 16, 2022
University of Waterloo

New artificial intelligence (AI) models can help doctors prioritize care by predicting which COVID-19 patients are most at risk of dying or developing kidney injuries during hospitalization.

The sophisticated computer software, developed by researchers at the University of Waterloo, identifies vulnerable patients by learning from previous COVID-19 patient cases with known clinical outcomes.

“There is tremendous potential for predictive AI models like this as they can greatly aid clinicians in identifying who needs help the most, and most urgently, to increase survival rates and reduce rates of serious injury,” said Alexander Wong, a professor of Systems Design Engineering at Waterloo.

The new models are part of an open-source project called COVID-Net that has produced several other innovations since the start...

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Topics: AI (Artificial Intelligence), Healthcare System, Patient / Consumer, Provider, Public Health / COVID, Technology
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