Johns Hopkins radiologists have found that a deep learning algorithm to detect tuberculosis in chest X-rays could be useful for identifying lung abnormalities related to COVID-19. These findings, ...
Trained to see patterns by analyzing thousands of chest X-rays, a computer program predicted with up to 80 percent accuracy which COVID-19 patients would develop life-threatening complications within ...
As the COVID-19 pandemic has forced changes in the day-to-day care provided by many clinicians, many medtech companies have worked to adapt their products and programs toward these emergency practices ...
A team of researchers at the University of Minnesota recently developed and validated an artificial intelligence algorithm that can evaluate chest X-rays to diagnose possible cases of COVID-19.
Artificial intelligence (AI) should be used to expand the role of chest X-ray imaging -- using computed tomography, or CT -- in diagnosing and assessing coronavirus infection so that it can be more ...
The AI suite quickly analyzes chest x-ray findings and flags abnormalities to radiologists for review, including pneumonia, which may be indicative of COVID-19 as well as tuberculosis, lung nodules, ...
NEW ORLEANS (WVUE) - A team of radiologists at LSU Health New Orleans believes chest x-rays could aid in the rapid diagnosis of COVID-19. The hospital said the discovery could especially help in areas ...
Racial/ethnic minority patients admitted to the hospital with COVID-19 infection are more likely to have more severe disease on chest X-rays than white/non-Hispanic patients, increasing the likelihood ...
Northwestern University researchers have developed a new artificial intelligence (AI) platform that detects COVID-19 by analyzing X-ray images of the lungs. Called DeepCOVID-XR, the machine-learning ...
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