Overall, 3392 of the 49,196 women included in the study, with a median follow-up of 8.8 years, experienced a first major cardiovascular event. The researchers found that the concordance index was 0.72 ...

GREENWICH, Conn.--(BUSINESS WIRE)--Cedar Gate Technologies (Cedar Gate) finds that of nearly 2.4 million women in its commercially insured Healthcare Benchmark Database, 55% are unlikely to get a ...

Using artificial intelligence (AI), researchers found that image-based risk scores for breast cancer derived from screening mammograms evolve over time and differ between women who develop cancer and ...

Mammograms, with the help of artificial intelligence (AI) models, may reveal much more than cancer, according to a new study. The findings highlight how these important cancer screening tools can also ...

Implementing Cancer Registry Data With the PCORnet Common Data Model: The Greater Plains Collaborative Experience Current image-based long-term risk prediction models do not fully use previous ...

A new machine learning algorithm based on mammograms can estimate the risk of breast cancer in women more accurately than current risk models, according to a study from Adam Yala and colleagues. The ...

GREENWICH, Conn., Oct. 02, 2025 (GLOBE NEWSWIRE) -- Cedar Gate Technologies (Cedar Gate), a leading value-based care technology and services company, today announced new data revealing that the number ...

Researchers from MIT and Massachusetts General Hospital have developed an automated model that assesses dense breast tissue in mammograms -- which is an independent risk factor for breast cancer -- as ...