A new deep learning model demonstrates substantially higher accuracy than radiologist-assessed breast density for identifying women at risk of breast cancer, offering a more precise pathway for supplemental screening decisions. Original paper: A Deep Learning Breast Cancer Risk Model for Precise Supplemental Screening. — JAMA network open. 10.1001/jamanetworkopen.2026.10559 📄 Read the article