Columbia Adjunct Authors NYU Study on AI Tool to Predict Respiratory Disease in Patients

Megan Coffee, an adjunct assistant professor at Columbia's Mailman School of Public Health, said that the research holds promise. 

 

April 01, 2020

An artificial intelligence tool has accurately predicted which patients with COVID-19 would likely develop severe respiratory disease. 

The study was led by NYU Grossman School of Medicine and NYU’s Courant Institute of Mathematical Sciences, in partnership with Wenzhou Central Hospital and Cangnan People's Hospital, both in Wenzhou, China.

The author of the study, Megan Coffee, MD, PhD, clinical assistant professor in the Division of Infectious Disease & Immunology in the Department of Medicine at NYU Grossman School of Medicine and an adjunct assistant professor at Columbia's Mailman School of Public Health, said: “While work remains to further validate our model, it holds promise as another tool to predict the patients most vulnerable to the virus, but only in support of physicians’ hard-won clinical experience in treating viral infections.”

The study was published online on March 30, in the journal Computers, Materials & Continua. Xinyue Jiang of Columbia University was also one of the authors.