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.

With RSNA 2018 rapidly approaching, Signify Research has published a new report on the trends expected to steal the show. And, yes, artificial intelligence (AI) seems like an obvious choice for No. 1, but the report suggests another top trend: efficiency.

In late November, some 50,000 representatives from the medical imaging industry will once again gather at McCormick Place in Chicago for RSNA 2018. Vendors will share their latest and greatest solutions, attendees will take part in fascinating sessions and the convention center will burst with enthusiasm, energy and excitement.

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.

After a federal judge blocked Kentucky’s Medicaid work requirements from going into effect earlier this year, CMS reapproved the program on Nov. 20.

University of Oxford researchers were able to predict a patient’s risk of being admitted into emergency care by using machine-learning techniques with electronic health records (EHRs), according to a study published in PLOS Medicine.

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.

Monitoring digoxin concentration and platelet activation in atrial fibrillation (AF) patients treated with vitamin K antagonists could be important for reducing those patients’ inherently elevated risk for CVD, according to a study published in the Journal of the American Heart Association Nov. 15.

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.

Apple is reportedly in talks with the Department of Veterans Affairs to give military veterans access to electronic health records, The Wall Street Journal reported, citing sources familiar with the matter.