A new study finds AI can potentially detect artery calcification in routine mammograms, helping identify women at risk of heart disease, the leading cause of death.

The arterial vasculature is the second most frequently calcified structure in the human body after the skeleton. Calcification of the aorta and aortic valves occurs in most individuals in westernized ...

The team used AI to analyze the amount of calcium deposit in the arteries of the breast tissue, known to be a risk factor for heart disease.

BACKGROUND: Aortic valve calcification increases leaflet stiffness and contributes to the development of calcific aortic valve disease. The molecular and cellular mechanisms underlying calcification ...

A new case report was published in Volume 13 of Oncoscienceon February 7, 2026, titled "Massive calcified solid ...

AI-quantified BAC on a single index screening mammogram independently predicted MACE and all-cause mortality in large Emory and Mayo cohorts, supporting risk stratification during standard breast ...

AI-driven quantification of breast arterial calcification on imaging could ID higher-risk ...

Breast arterial calcification (BAC) on screening mammograms is an independent predictor of major adverse cardiovascular events (MACE) and mortality, according to a study published online March 9 in ...

Researchers say AI could help save the disproportionate number of women who have undiagnosed and untreated heart disease.

Diabetic macrovascular complications are the main cause of death and disability in diabetes patients, of which vascular calcification is one of the key pathological mechanisms. Calcification in ...