Research & science

Swedish MASAI trial: AI-supported mammography finds more cancer with 44% less reading

By Kristina Lång and colleagues (Lund University, Skåne University Hospital)
AI triage and detection support for mammography (commercial system)

Built and shared by Kristina Lång and colleagues (Lund University, Skåne University Hospital), not by me. Summarised from the public sources below. Check them before you rely on a number.

Who
Kristina Lång and colleagues (Lund University, Skåne University Hospital)
Category
Research & science
Source
Web
Dates
Published Jan 2026 · Found 17 Oct 2026

Lund University ran a randomised trial with about 106,000 women in the Swedish screening programme, comparing AI-supported mammography with standard double reading. AI found 29% more cancers, cut radiologists' reading workload by 44%, and a 2026 Lancet follow-up showed higher sensitivity with no rise in interval cancers.

What they built

AI was used to triage screening exams to single or double reading by radiologists and to mark suspicious areas as detection support. Women were randomly assigned 1:1 to AI-supported screening or standard double reading without AI, and the researchers followed up on interval cancers over two years.

The result

AI-supported screening found 338 cancers vs 262 with standard screening (29% more) and cut the screen-reading workload by 44.2%. Interval cancer rate was non-inferior (1.55 vs 1.76 per 1,000), sensitivity rose to 80.5% from 73.8%, and specificity was unchanged at 98.5%.

Sources

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