In recent years, AI software that helps radiologists detect problems or diagnose cancer using mammography has been moving into clinical use. The software can store and evaluate large datasets of images and identify patterns and abnormalities that human radiologists might miss. It typically highlights potential problem areas in an image and assesses any likely malignancies. This extra review has enormous potential to improve the detection of suspicious breast masses and lead to earlier diagnoses of breast cancer. While studies showing better detection rates are extremely encouraging, some radiologists say more research and evaluation are needed. “I see the promise, and I hope it will help us,” said Etta Pisano, a radiologist who is chief research officer at the American College of Radiology, a professional group for radiologists. However, “it really is ambiguous at this point whether it will benefit an individual woman,” she said. “We do need more information.”