New research has found that significant differences in radiation dose from CT scans is credited to how medical staff uses imaging scanners. However, setting more consistent dose standards through changes in CT protocols is possible, according to a study published online Jan. 2 in The BMJ.

Follow-up recommendations in radiology reports commonly contain little standardization. Machine learning and deep learning methods are each effective for deciphering reports and may provide the foundation for real-time recommendation extraction, according to a recent study in the Journal of the American College of Radiology.

Researchers from Vanderbilt University Medical Center in Nashville, Tennessee have found that a smartphone app may serve as an effective and valuable workplace-based education tool to help decrease the amount of incorrectly ordered scans, according to research published Jan. 2 in the Journal of the American College of Radiology.

A team at the University of Arizona (UA) in Tucson is working to create a 15-minute MRI to accommodate patients with conditions ill-suited for traditional imaging times, according to a recent UA news release.

Incorporating the golden-angle radial sparse parallel (GRASP) technique into dynamic contrast agent-enhanced (DCE) MRI improves the performance of prostate MRI, according to a Jan. 1 study published in Radiology.

The team, led by Terisa P. Gabrielsen, PhD, assistant professor at Brigham Young University in Provo, Utah, successfully conducted structural and functional MRI scans of 37 children and adolescents between the ages of 7 and 17 years with autism—including 17 with less-developed language skills, according to research published online Jan. 2 in the journal Molecular Autism.

Using a technique that combines two MRI scans, researchers have developed an objective way to monitor concussions, according to a study published in NeuroImage: Clinical.

“As we rapidly approach the beginning of the mandatory consultation of appropriate use criteria (AUC) under the Protecting Access to Medicare Act (PAMA), these resources are becoming even more important to the practice of medicine," said Frank J. Rybicki, MD, PhD, chair of the American College of Radiology (ACR) Committee on Appropriateness Criteria.

Researchers out of the University of Surrey in the U.K. created an artificial intelligence (AI) platform that can predict which cancer patients are most at risk for experiencing common symptoms associated with the disease.

A new federal law proposed by CMS took effect on Jan. 1, requiring hospitals to publish online price lists for medical imaging and all other services they provide, according to a recent report by Newsweek.