California Gov. Jerry Brown guaranteed the state’s breast density notification program will extend through 2025 after he signed the Dense Breast Tissue Awareness bill (SB-1034) this week.

As CMS is proposing several changes to the physician payment schedule, some industry groups are speaking out about the proposals.

Research published online Sept. 3 in Scientific Reports concluded that an artificial intelligence (AI) algorithm can differentiate between tuberculous (TB) spondylitis and pyogenic spondylitis on MRI exams with the same level of expertise as skilled musculoskeletal radiologists.

Daytime sleepiness and poor sleep patterns might be linked to hypertension in black women, researchers reported last week at the American Heart Association’s Joint Hypertension 2018 Scientific Sessions in Chicago. The same trial also connected excessive fatigue to inactivity and obesity.

Fujifilm Medical Systems U.S.A. announced Tuesday, Sept. 11, that it is continuing its ongoing partnership with the American College of Radiology (ACR) to provide hands-on training to radiologists at the ACR Education Center in Reston, Virginia.

More and more women are now receiving their breast cancer diagnosis over the phone, according to a study published in the Supportive Care in Cancer journal.

Current guidelines justify treating most patients 75 and older with cholesterol-lowering drugs based on their estimated risk of cardiovascular disease (CVD). However, a new cohort study published in The BMJ suggests statins are ineffective at primary prevention in this elderly population.

Brain MRI scans of concussed university hockey players showed the protective tissue insulating brain cell fibers became jarred loose two weeks after injury—despite being cleared to return, research published in the Frontiers in Neurology revealed.

As more states look to implement work requirements for the Medicaid program, millions of people could be in jeopardy of losing their healthcare coverage if they cannot comply. Even if some Medicaid beneficiaries lose their coverage, the savings to the federal program could be minimal, according to a pair of recent studies published in JAMA Internal Medicine.

A small group of experienced radiologists, connected by machine learning algorithms that enable them to work together as a “hive mind,” can achieve higher diagnostic accuracy than individual radiologists or machine learning algorithms alone, according to new research presented on Sept. 10 at the Society for Medical Imaging Informatics in Medicine (SIIM)’s Machine Intelligence in Medical Imaging conference.