Using AI to help doctors read mammograms may reduce false positives in testing without missing breast cancer cases, a new study shows.

Repeated mammograms that show changes in breast density over time could help identify women at high risk of breast cancer.

Over the course of a decade of annual screening, researchers report that half of all women will get at least one false positive mammogram result.

About one in seven breast cancers detected by mammogram screening in the US are over-diagnosed, leading to unnecessary treatments and stress.

If you've ever had a mammogram or an MRI you know how uncomfortable the tests can be. New stretchable, wearable RF coils could change that.

Combined with analysis from a radiologist, a new artificial intelligence tool can identify breast cancer with approximately 90% accuracy.