Ultrasound is widely used to detect breast cancer early, but misdiagnosis of benign lesions as malignant tumors sometimes leads to unnecessary biopsies. To tackle this problem, scientists conducted a large multi-center study involving 13 hospitals in China to train deep learning models to accurately classify breast masses. Their results, published in Chinese Medical Journal, showcase how artificial intelligence could find use as an assistive tool in ultrasound breast diagnosis and help alleviate workload of doctors.