To train and test the machine-learning tool, researchers utilized 17,002 chest X-ray images. Among these, 5,445 were from COVID-19-positive patients from different Northwestern Memorial Healthcare ...

With machine learning, Fleischer analyzed 2300 x-ray images: 1018 "normal" images from patients who had neither pneumonia nor COVID-19; 1011 from patients with pneumonia; and 271 from patients ...

Editor's note: Find the latest COVID-19 news and guidance in Medscape's Coronavirus Resource Center. Point-of-care lung ultrasound is better than chest x-ray for diagnosis of COVID-19 pneumonia ...

To develop, train and test the new algorithm, the researchers used 17,002 chest X-ray images -- the largest published clinical dataset of chest X-rays from the COVID-19 era used to train an A.I ...

Using well-documented COVID-19 imaging patterns, two experienced radiologists categorized each chest x-ray as characteristic, nonspecific, or negative in appearance for COVID-19.

Of them, she tells CBS 11 News those who have had COVID-19 symptoms show a severe chest X-ray every time. And those who were asymptomatic show a severe chest X-ray 70% to 80% of the time.

University of Iowa researchers identified a new way to find effects of long COVID-19 like lung damage through 2D chest X-ray exams in a recent study involving UI Hospitals and Clinics patients. Until ...

Researchers developed an AI algorithm that automatically analyzes chest X-rays to rapidly detect COVID-19 infection with more than 98% accuracy, distinguishing between normal X-rays and X-rays ...

To develop, train and test the new algorithm, the researchers used 17,002 chest X-ray images -- the largest published clinical dataset of chest X-rays from the COVID-19 era used to train an A.I ...

CHICAGO (CBS)-- It could be a game-changer; a COVID-19 test that's cheaper and faster than the rest. CBS 2's Jim Williams reports it's artificial intelligence making the diagnosis. The technology ...