Mammographic density assessment by an artificial intelligence model for breast cancer detection in BreastScreen Norway.

Despite high AUC estimates across all volumetric breast density groups and the potential advantages of an automated density assessment, several factors, such as vendor and breast vs exam level, must be carefully considered before implementing automated density measures in screening programs.

KEY POINTS: Question What are the benefits and drawbacks of mammographic density assessment using an artificial intelligence model for breast cancer detection?

Findings The artificial intelligence model's performance for cancer detection was promising but decreased with increasing density category.