Predicting Breast Lesions that Require Removal and Avoiding Unnecessary Surgeries

A new study demonstrates that a machine learning model can distinguish between high-risk breast lesions that require surgical removal versus those that are not likely to turn into cancer. Use of this model could decrease unnecessary surgery by nearly one-third and could help guide clinical decision making with regard to surgery versus surveillance.Read the whole story at Bioengineering Today: Using Computer Models to Predict Which Breast Lesions Require Removal.