A Trial Comparing Screening Mammography With and Without Assistance From Artificial Intelligence for Breast Cancer Detection and Recall Rates in Adult Patients
NCT06934239
This study is recruiting at 6 US sites in 5 states, according to its ClinicalTrials.gov record last updated .
Summary
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?
Shortened from the sponsor's brief summary. View official record on ClinicalTrials.gov
Conditions studied
- Breast Cancer Screening
- Artificial Intelligence (AI)
Eligibility basics and study details
- Study type
- Interventional
- Phase
- Phase 4
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Sponsor
- Jonsson Comprehensive Cancer Center
- Last updated on ClinicalTrials.gov
- November 26, 2025
These are the basic criteria only. The full inclusion and exclusion criteria are on the official record, and the study team decides who can take part.
US recruiting sites
California · 2
- University of California Los Angeles Health System · Los Angeles, CA
- University of California, San Diego · San Diego, CA
Florida · 1
- University of Miami Health System · Miami, FL
Massachusetts · 1
- Boston Medical Center · Boston, MA
Washington · 1
- University of Washington Health System · Seattle, WA
Wisconsin · 1
- University of Wisconsin-Madison · Madison, WI
Source: ClinicalTrials.gov, data processed . Recruiting US sites filtered by distance and site status; summaries shortened.