Deep learning neural networks can improve the detection of tuberculosis (TB) and provide health systems with considerable cost savings, according to new findings published in Scientific Reports.

AI can detect brain hemorrhages in CT scans more accurately than some radiologists, according to new findings published by Proceedings of the National Academy of Sciences.

Deep learning algorithms can be trained to flag suspicious chest x-rays in an emergency department (ED) setting, according to new research published in Radiology.

Working alongside machine learning technology can help radiologists detect more breast cancers, according to new findings published in IEEE Transactions on Medical Imaging.

Sanford, Florida-based Omega Medical Imaging announced that its new FluoroShield radiation reduction system has received FDA approval.

A new AI system is able to identify pneumothorax more accurately than many radiologists.

The newest AI-based imaging processing software from Subtle Medical has received FDA clearance.

The University of California San Francisco (UCSF) is developing a new center dedicated to applying AI to the field of radiology and improving patient outcomes.