AI model spots health disparities in COVID-19 patients

A research team led by presenter Dr. Ayis Pyrros of Duly Health and Care in Chicago developed a deep-learning model that yielded highly accurate assessments of comorbidities in COVID-19 patients. What’s more, it yielded comorbidity scores that were predictive of a patient’s self-reported race.

“Unequal burden of comorbidities is a primary contributor to health disparities, and [deep-learning] modelling can predict these relevant comorbidities among COVID patients, helping to identify those who may benefit from mitigation,” Pyrros said.

In an effort to detect health disparities among…