XACT Robotics, a radiology technology company with offices in Hingham, Massachusetts, and Israel, received FDA clearance for the use of its hands-free robotic system during CT examinations.

Fifty-three percent of physicians say they are optimistic about AI’s potential effect on healthcare, according to a new survey of more than 1,700 physicians published by the Doctors Company.

Facebook and the NYU School of Medicine made headlines back in August 2018 when they announced their plan to improve MRI times using AI.

Deep convolutional neural networks (CNNs) can be trained to predict sequence types for brain MR images, according to new research published in the Journal of Digital Imaging.

Discussions about AI and radiology often focus on the researchers who help develop the algorithms and radiologists themselves. But a new analysis published in Academic Radiology shines a light on another key role in the implementation of AI: the imaging informaticist.

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.

Medical imaging professionals and radiation experts are in a position to play a significant role as AI technologies continue to evolve, according to a new commentary published in the Journal of Medical Imaging and Radiation Sciences.

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.