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NCT06934239

A Trial Comparing Screening Mammography With and Without Assistance From Artificial Intelligence for Breast Cancer Detection and Recall Rates in Adult Patients

Recruiting now Phase 4 Last updated 26 November 2025
What this trial tests

Phase 4 trial testing Artificial intelligence (AI) decision-support tool in Breast Cancer Screening in 400,000 participants. Currently enrolling.

Timeline
15 October 2025
Primary endpoint
1 March 2028
1 March 2030

Quick facts

Lead sponsorJonsson Comprehensive Cancer Center
PhasePhase 4
StatusRecruiting now
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingsingle
Primary purposescreening
Enrollment400,000
Start date15 October 2025
Primary completion1 March 2028
Estimated completion1 March 2030
Sites6 locations across United States

Drugs / interventions tested

Conditions studied

Sponsor

Jonsson Comprehensive Cancer Center — full company profile →

Who can join

18 and older, any sex, with Breast Cancer Screening or Artificial Intelligence (AI). Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The goal of this clinical trial is to compare patient-centered outcomes when screening digital breast tomosynthesis (DBT) exams are interpreted with versus without a leading FDA-cleared artificial intelligence (AI) decision-support tool in real-world U.S. settings and to assess patients' and radiologists' perspectives on AI in medicine. The main question it aims to answer is: Does an FDA-cleared AI decision-support tool for digital tomosynthesis (DBT) improve screening outcomes in real world US clinical settings? This trial will include all interpreting radiologists and all adult patients undergoing screening mammography at any of the participating breast imaging facilities across 6 regional health systems (University of California, Los Angeles (UCLA), University of California, San Diego (UCSD), University of Washington-Seattle, University of Wisconsin-Madison, Boston Medical Center, and University of Miami) during the trial period. All screening mammograms at these facilities will be randomized to either intervention (radiologist assisted by an AI decision support tool) versus usual care (radiologist alone) to see if interpreting these mammograms with the AI tool's assistance improves patient screening outcomes. We are targeting 400,000 screening exams across the participating health systems in this trial.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Breast Cancer Screening

Currently open trials in the same condition.

Other Jonsson Comprehensive Cancer Center trials

Trials by the same sponsor.

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Data sources for this page

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