Artificial Intelligence in Mammography; Leveling the Playing Field for Global Disparities

Globally, over a half a million women die of breast cancer annually. In the US, the death rate has decreased by 40%, due to improved risk-based screening and targeted therapies. There is a need to increase cancer detection with mammography as well as increase interpretation efficiency, especially as tomosynthesis is becoming the standard of care. This presentation will review the impact of Artificial intelligence (AI) in cancer detection as well as compare AI to radiologist interpretation with 2D and 3D mammograms. As we become more aware and sensitive to the disparity of care among underserved populations, both in the US and around the globe, this presentation will discuss the use of AI has a strategy to mitigate the disparate breast cancer care and work toward equalizing care for all.