A new study suggests that use of an artificial intelligence (AI) algorithm may provide the key to creating personalized breast cancer screening protocols for women based on the results of their mammograms. The Diagnostic Challenge Early detection reduces breast cancer mortality. While screening mammography helps detect breast cancer early, it is not as effective in breasts with radiologically dense tissue. In addition to being a risk factor, dense tissue exercises a masking effect on detection. This often results in what are called “interval cancers,” i.e., cancers discovered within 12 months after a normal screening mammogram. Such interval cancers account for roughly 13 percent of all breast cancers diagnosed in the U.S. Because these cancers typically have more aggressive tumor biology, interval cancers are often at an advanced stage by the time they are discovered. Because all women are not the same, women at high risk of interval cancer may need more than just routine screenings but also supplemental screenings and other additional prevention measures. The problem with current diagnostics is that they do not identify whether a patient is at high risk. The Study For these reasons, the American College of Radiology has called on researchers to develop direct measures […]