A new AI algorithm developed by researchers at the University of Alberta in Edmonton, Alberta, Canada, can identify lung tumors from MRI scans faster than other advanced methods.

Researchers used T2 mapping taken from weekly cardiac MRIs to help identify cardiotoxicity at an early stage, according to results of a pig study published Feb. 18 in the Journal of the American College of Cardiology. The findings could help cancer patients at risk of chemo-induced heart failure.

At an academic health system in Boston, referring physicians have been ordering more breast MRI scans since Massachusetts mandated that mammographers inform patients in writing of their breast density.

The Radiology Business Management Association (RBMA) and Ultrasound Access Coalition (UAC) have released a statement highlighting their opposition to the $112 million in Medicare ultrasound reimbursement cuts planned by CMS.

Making its grand debut at this year’s ECR, the Artificial Intelligence Exhibition (AIX) will bring AI to the heart of Europe’s biggest radiology congress and technical exhibition.

There are four areas in which AI must excel to become clinically viable in women’s medical imaging—particularly mammography: performance, time, workflow and cost, according to an opinion article published in the American Journal of Roentgenology.

Royal Philips has gained FDA clearance for its new DigitalDiagnost C90 digital radiography system, which features a live video image displayed at the tube head.

Kettering Health Network, an Ohio-based health system, is using AI to reverse the effects of strokes quicker, according to a report by WDTN News.