AI takes on mammograms: 100,000 women test smarter screening

NCT ID NCT04838756

Completed Diagnosis Sponsor: Region Skane Source: ClinicalTrials.gov ↗

First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This large study tested whether artificial intelligence (AI) can make mammography screening better. Over 100,000 women were randomly assigned to have their mammograms read with AI assistance or by the usual two radiologists. The goal was to see if AI could catch more cancers, reduce false alarms, and lighten radiologists' workload. Results will show if AI can safely replace one of the two human readers.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: AI software (Transpara) for mammography reading
What this could lead to: If successful, AI could make breast cancer screening more accurate and efficient, catching more cancers while reducing unnecessary callbacks.
What could go wrong: The AI may not perform as well in real-world settings or could miss cancers that human readers would catch. Results are from a single region and may not apply everywhere.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

breast cancer breast neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BREAST CANCER

Contacts and locations

Locations

Mammography Unit, Unilabs/Skane University Hospital

Malmö, Skåne County, 20550, Sweden

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