Canon Medical Research Europe, based in Edinburgh, Scotland, was awarded $180,000 to develop an artificial intelligence (AI)-based medical imaging technology prototype that can recognize, assess and measure asbestos-related cancer tumors, according to a report published Aug. 6 by Scottish Business Insider.

The Radiological Society of North America (RSNA)’s Board of Directors has appointed Gary Luker, MD, as editor of Radiology: Imaging Cancer, its new online journal, according to an RSNA news release.

Researchers from Columbia University in New York have developed a molecular imaging tool that can track metabolic changes in individual living cells in real time, according to research published July 30 in Nature Communications.

China announced on Friday, Aug. 3, its plans to impose $60 billion in new tariffs on more than 5,000 imported U.S. products, including medical imaging equipment such as x-ray tubes, CT and MRI systems and ultrasonic scanning devices.

A new technology hopes to break the geographical barriers keeping patients from diagnostic CT scans. The imaging units are hardly mobile, so one scientist is hoping to put similar tools into people’s hands.

The Radiological Society of North America (RSNA) has launched new webinars and workshops aimed at educating radiologists, researchers and industry scientists about artificial intelligence (AI) and machine learning in medical imaging, according to an Aug. 2 RSNA press release.  

Participation in contrast reaction management simulations can help radiology residents provide better patient care, according to a new study published in Academic Radiology.

Current lung cancer screening guidelines, developed based on results from a 2011 study, may be inadequate for high-risk minorities and those in underrepresented communities, researchers at the University of Illinois at Chicago reported in a JAMA Oncology study.

A group of researchers from a Veterans Affairs health system in California shared their experience with limited left ventricular echocardiography, something they believe could reduce the cost and time required for testing in select patients.

Developing a personalized radiation therapy plan can take days—time that many cancer patients are unwilling to wait. But researchers have developed a new automated artificial intelligence (AI) software that can do the job in 20 minutes.