Ontario university researchers develop model to spot severe outcomes in COVID-19 patients
The University of Waterloo says a research team from the school has developed new artificial intelligence models that can predict whichAccording to the school, the researchers used data from previous COVID-19 patient cases with known clinical outcomes to develop the potentially life-saving software.
“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,” professor Alexander Wong stated.Story continues below advertisement The AI technolology will also allow doctors to see which predictors determined the program’s results, so the doctor can have more confidence in the findings.
“AI models that provide not just predictions but the rationale behind the predictions can greatly improve trust and widespread adoption to support clinicians in their decision-making processes along the entire clinical workflow,” Wong explained. “That’s the power of explainable AI.” The research was part of the COVID-Net project, which the school says has been responsible for other important discoveries, with the open-source work being shared around the globe.
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