Breast cancer is the most common cancer diagnosis for women in the United States. According to the National Institute of Health (NIH), it is estimated that there will be 268,000 new cases of breast cancer and 42,000 breast cancer-related deaths in 2019. Mammography is the gold standard in breast cancer detection. However, screening mammography is associated with some harms including overdiagnosis and overtreatment, false-negative results, and false-positive results.

As a result, artificial intelligence (AI) and machine learning have emerged to enhance current mammography technologies and breast cancer screening. The development of AI algorithms has helped improve cancer detection efficacy and accuracy by increasing sensitivity and specificity and decreasing reading time