Artificial Intelligence Used to Analyze Patients

May 26, 2020 by Christen Aldrich

Filed under COVID-19 for Employers, COVID-19 for the Workforce

Last modified May 27, 2020

The Medical Society of the State of New York discusses how Mount Sinai researchers have created an algorithm that can detect COVID-19 based on how lungs look in CT scans. This combined with patient information like age, symptoms, blood work, and possible contact with others infected helps doctors determine certain patients who have coronavirus.

“Imaging can help give a rapid and accurate diagnosis—lab tests can take up to two days, and there is the possibility of false negatives—meaning imaging can help isolate patients immediately if needed and manage hospital resources effectively. The high sensitivity of our AI model can provide a ‘second opinion’ to physicians in cases where CT is either negative (in the early course of infection) or shows nonspecific findings, which can be common,” said Zahi Fayad, director of the BioMedical Engineering and Imaging Institute at the Icahn School of Medicine at Mount Sinai.

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