Using the new-look algorithm consistently improved reader accuracy, especially among less experienced radiologists. It also helped limit false-positive results. 

Scientists at Houston Methodist Hospital developed the intelligent-augmented breast cancer risk calculator, testing it across a large dataset to produce promising results. 

A new AI model helped researchers identify a relationship between background parenchyma enhancement on breast MRI exams and breast cancer risk.

The technology was able to detect about 20% more cancers when compared to standard screening, without impacting false positives.

Paris, France-based Sonio also recently raised $14 million in series A financing led by Cross Border Impact Ventures. 

What’s more, the model proved beneficial in a large, diverse cohort that included women with benign breast disease and BRCA mutations.

Breast radiologists are known to have higher rates of burnout in comparison to many of their peers, but the beginning of the pandemic brought this group something not often encountered within the specialty—downtime. 

The downward trend is most notable in women who have at least one risk factor of severe COVID, new data suggest.