Artificial Intelligence Model Created by Northwestern Medicine, Google Health Improves Breast Cancer Detection
A collaborative team of engineers and clinicians trained a breast cancer artificial intelligence tool to read mammograms more accurately than a panel of expert radiologists.
Breast cancer is one of the leading causes of death in women, with one in eight facing a diagnosis in her lifetime.1 While mammograms can help identify cancer early, they are not a perfect science. In fact, half of all women experience a false positive over the course of a decade, leading to invasive biopsies and unnecessary stress. Mammograms can also miss up to 20% of breast cancers present at the time of screening, resulting in delayed diagnosis and care2.
Understanding the significant costs of inaccurate readings — coupled with the implications of the increased time it takes to get results from radiologists due to staff shortages — a large, interdisciplinary team at Northwestern Medicine partnered with Google Health to develop a better way to detect breast cancer in mammograms using artificial intelligence (AI).