The datasets comprised three categories of chest X-ray images: normal, coronavirus-positive, and viral pneumonia. To train the Custom-CNN model, 80% of the total images were used, while 20% were ...

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 ...

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 ...

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 ...

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.

"Artificial intelligence tool uses chest X-ray to differentiate worst cases of COVID-19." ScienceDaily. ScienceDaily, 12 May 2021. <www.sciencedaily.com / releases / 2021 / 05 / 210512083411.htm>.

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 ...

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large US Clinical Dataset. Radiology, 2020; 203511 DOI: 10.1148/radiol.2020203511 ...

The radiologists found a characteristic chest x-ray appearance is highly specific (96.6%) and has a high positive predictive value of 83.8% for SARS-CoV-2 infection.