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

Researchers speculated on several reasons why the United States sees more breast imaging-related lawsuits than its neighbor to the north. 

The findings point to a "real need for better tools to identify which women may benefit from screening and which breast cancers are unlikely to be progressive." 

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. 

"This system is bringing with it a greater humanization of AI and therefore a more realistic representation of what we do as radiologists,” one member of the specialty said.