AI and quick looks: could they speed up breast cancer screening?

NCT ID NCT05960188

Ongoing Knowledge-focused Sponsor: Brigham and Women's Hospital Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Aug 14, 2026 · Updated 2 times

Summary

This study tested whether radiologists can safely skip looking at detailed 3D breast scans when a quick 2D image or an AI score suggests the case is normal. Sixteen radiologists briefly viewed each case and rated how likely it was normal, then saw the AI's opinion. The goal is to see if this 'self-triage' could speed up screening without missing cancers. It's a very early step and not ready for real-world use.

What this could mean

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

Active substance: AI opinion (behavioral intervention)
What this could lead to: If successful, this could help radiologists work faster by safely skipping unnecessary 3D scans for clearly normal cases, potentially reducing screening time and cost.
What could go wrong: This is a very small, early study with only 16 radiologists. It does not test real-world outcomes, and the approach may not be safe or acceptable in practice.

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Conditions

The condition(s) this trial relates to.

breast cancer

As listed by the trial registrant

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

BREAST CANCER SCREENING

Contacts and locations

Locations

Visual Attention Lab / Brigham and Women's Hospital

Boston, Massachusetts, 02215, United States

More trials for these conditions

Other studies related to the condition(s) this trial covers.