AI shines in radiology when tasked with interpreting images of patients whose odds of illness are either very high or very low. In these cases, the technology could help mitigate burnout and supplement staffing. 

Raj Kedar, MD, chief of radiology at Tampa General Hospital, spoke on how to reduce the number of STAT imaging exams and inappropriate exams via staff education and additional questions of orders. 

The coroner recently authored a report questioning how the availability of radiologists in the region could be impacting patient outcomes. 

New research published in Clinical Imaging shows that patients undergoing TACE can forego dayslong hospital stays without no negative consequences.

Researchers have developed a deep learning model that can spot longitudinal changes in patients' brain imaging that could be indicative of cancer recurrence. 

These moves come as healthcare organizations are increasingly seeking ways to integrate artificial intelligence into daily clinical duties. 

For some patients, these side effects can last for years, negatively impacting their day-to-day lives. 

New research in the American Journal of Roentgenology details a deep learning super-resolution image reconstruction technique that opens the door for accelerated imaging of the knee.

The ongoing trade war between the United States and China could jeopardize the availability of contrast agents used for medical imaging. 

Radiology practices are already operating on razor thin margins, with price increases prompting calls for congressional action to prevent further damage.