How Artificial Intelligence Will Improve Early Breast Cancer Detection

In the United States alone, breast cancer claims over 40,000 women’s lives every year. Yet, the problem is not exactly the cancer itself, but rather the stage during which it is detected. When a cancer is detected at an early stage, it can often be cured. Although mammograms are the most effective tools for detecting breast cancer available to date, they are still flawed and they can present false-positive results. This, in turn, leads to unnecessary biopsies and surgical procedures.

One of the most common causes of false-positive results are high-risk lesions. These lesions appear suspicious on mammograms because they portray abnormal cells. A patient typically undergoes a surgical procedure to have the lesions removed, but 90% of the time, the lesions turn out to be benign. As a result, thousands of women undergo painful, unnecessary, and expensive surgical procedures.

How can unnecessary biopsies and surgical procedures be eliminated, all while improving early detection of cancers such as breast cancer?

How Artificial Intelligence Will Improve Early Breast Cancer Detection