How AI could make therapeutic decision-making for breast cancer more accurate, affordable

Imagine being a doctor and having a precocious resident permanently by your side, giving you brilliant insight into disease and helping you to identify the best treatment path for your patients. A team at Salesforce Research believes this scenario is closer to reality than you might think, as a result of a series of exciting developments in AI vision technology and machine learning. Breast cancer affects more than two million women worldwide each year, with around one in eight women in the United States developing breast cancer over the course of their lifetime. There were also 2,550 new cases of breast cancer in men in the U.S. in 2018. Alarmingly, rates of breast cancer are increasing in nearly every region globally.