OAK BROOK, Ill. - A sophisticated type of artificial intelligence (AI) can detect clinically meaningful chest X-ray findings as effectively as experienced radiologists, according to a study published ...

An automated chest X-ray interpretation system that uses artificial intelligence was able to identify key findings in X-rays accurately in about 10 seconds, according to researchers from Intermountain ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Analyzing chest X-ray images with machine learning algorithms is easier ...

SALT LAKE CITY--(BUSINESS WIRE)--From 20 minutes or more to 10 seconds. Researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how quickly a new system they studied ...

A chest X-ray can usually detect active tuberculosis (TB) but not latent TB. In either case, you’ll need a sputum test to confirm a diagnosis. Doctors often use chest X-rays to help diagnose active ...

Algorithm was trained, tested on the largest COVID-era dataset (17,002 X-ray images) Algorithm analyzed X-ray images of lungs about 10 times faster, 1-6% more accurately than individual specialized ...

X-rays can help doctors identify TB infections. They look for specific characteristics in these images to make a diagnosis. TB is an infectious disease that primarily affects the lungs, although it ...

From 20 minutes or more to 10 seconds. Researchers from Intermountain Healthcare and Stanford University say 10 seconds is about how quickly a new system they studied that utilizes artificial ...