A landmark clinical study at Johns Hopkins Medicine has found that AI-powered mammography screening detects breast cancer an average of 14 months earlier than radiologist review alone, catching tumors at Stage I instead of Stage II or III in a significant percentage of cases.
The study tracked 87,000 American women over three years. The AI system flagged subtle tissue changes that human radiologists missed in 23% of early-stage cancer cases. Early detection at Stage I carries a 99% five-year survival rate, compared to 27% for Stage IV.
"We are talking about tens of thousands of American women living who would otherwise have died," said lead researcher Dr. Constance Lehman. The FDA has fast-tracked approval for the system's use as a primary screening tool in US hospitals.
The technology is now being deployed at 340 US hospital systems. Major insurers including UnitedHealth and Aetna have announced they will fully cover AI-assisted mammography screening starting next year.
