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AI-Assisted Mammography Cuts Interval Cancers and Radiologist Workload in Swedish Trial

Experts urge replication with full economic evaluation before screening services change protocols.

Overview

  • The Lancet-published MASAI trial involving more than 100,000 women found 12% fewer interval cancers and 16% fewer invasive interval cancers with AI-supported screening versus the standard two-radiologist approach.
  • The AI workflow triaged low-risk exams to a single reader and increased the share of cancers detected during screening to 81% compared with 74% in the control arm.
  • Trial analyses report about a 44% reduction in radiologist screen-reading workload without lowering cancer detection rates.
  • Clinicians and charities call the approach a major advance that can help flag smaller, earlier-stage tumors, with some expecting hospital use relatively soon.
  • Evidence leaders caution that broader, multi-center validation, monitoring for missed cancers, and cost-effectiveness studies are needed, and a survey indicates most patients still prefer a radiologist to review images.