Women with increased breast density are targeted significantly more for supplemental imaging than those without dense tissue, but there are other factors that increase the risk of mammography screening failure that should also be considered, according to new data.

Malissa Wood, MD, co-director of Corrigan Women’s Heart Health Program at Massachusetts General Hospital, shares some of the latest data from the iSCAD Registry.

Experts recently explored whether AI could predict a woman's chance of developing the disease, using only negative mammograms as an input. 

Beth Israel Deaconess Medical Center has seen marked gains in certain key metrics after launching its imaging navigator role in 2018. 

Rapid adoption of digital breast tomosynthesis has increasingly made it a new standard of care.

Standalone AI can significantly outperform radiologists' sensitivity in reading digital mammograms and has shown potential in DBT exams as well, but experts are not yet ready to hand over the reins.

Judging the software’s utility in rural settings with less experienced readers is important for expanding access to and improving care for patients, authors of a new AJR paper noted.

This psychological phenomenon describes the notion that people believe they can make better predictions or decisions once they have been exposed to new information on the subject, often causing them to overestimate their own abilities.