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.

Microsoft and Humana have announced a new seven-year strategic partnership that will aim to improve the efficiency and effectiveness of the healthcare solutions available to Humana’s members.

Researchers have trained a machine learning model to identify patients with familial hypercholesterolemia (FH), a genetic disorder that increases a person’s risk of coronary artery disease.

Deep learning can be used to predict the future hospitalization of pediatric patients, according to new research published in the American Journal of Managed Care. 

Intelerad Medical Systems and Zebra Medical Vision have announced a new partnership involving Intelerad’s Odyssey workflow management solution.

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

The rise of AI is an exciting change for healthcare providers all over the world, but implementing these groundbreaking technologies still comes with its fair share of significant challenges.  

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.