MIT and Massachusetts General Hospital have developed an AI model that has a capability to recognize the risk of breast cancer with an accuracy rate of almost 90%.
The Massachusetts Institute of Technology (MIT) and Massachusetts General Hospital have recently developed an Artificial Intelligence (AI) model that actually will be able to recognize the risk of breast cancer with an accuracy rate of almost 90%.
The automated model, trained on thousands of digital mammograms, has an ability to effectively distinguish breast tissue types, from fatty to extremely dense.
“Breast density is an independent risk factor that drives how we communicate with women about their cancer risk. Our motivation was to create an accurate and consistent tool, that can be Shared and used across health care systems,” says Adam Yala, a PhD student in MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and author.
“It takes less than a second per image…[and can be] easily and cheaply scaled throughout hospitals,” Yale said.
It is estimated that over 40 percent of women in the United States have dense breast tissue, which alone increases the risk of breast cancer.
The MIT news office further stated in an article, dense tissue can mask cancers on the mammogram, making screening more difficult. As a result, 30 U.S. states mandate that women must be notified if their mammograms indicate they have dense breasts.