Over the past year, 2018 RSNA President Vijay Rao, MD, has heard radiologists across the globe express their “hype, hope and fear” of the sudden rise in technology. During her presidential address at RSNA's 2018 Annual Meeting in Chicago she put those fears to bed, while placing the onus on radiologists to help do the same.

When patients with substance dependence issues are shown cues or images related to such substances, activity in a specific area of the brain increases, according to an fMRI-based study published in Translational Psychiatry. The results may have implications for addiction treatment.

Aidoc and SaferMD are joining forces for a new solution that will use artificial intelligence (AI) to improve clinical results and give radiologists higher Medicare Merit-Based Incentive Payments System (MIPS) scores.

A deep learning algorithm showed capability in screening chest x-rays for diseases similar to the interpretations of trained radiologists, but did so in a matter of seconds, according to Stanford University researchers.

Breast radiologists had slightly higher diagnostic performances when using artificial intelligence (AI) with no additional reading time required, according to a study published Nov. 20 in Radiology.

Artificial intelligence (AI) support systems for reading mammograms can improve a radiologist’s ability to detect cancers, according to a new study published in Radiology. Using the system, the authors added, does not lengthen the overall reading time.

Three-dimensional (3D) MRI is similar to 2D for diagnosing meniscus knee injuries, but may be able to cut down on image acquisition time, reported authors of a Nov. 20 study published in Radiology.

Images from the world’s first whole-body MRI scanner are set to be presented at this year’s 2018 RSNA Annual Meeting in Chicago, according to a University of California, Davis statement.