A Trial Comparing Screening Mammography With and Without Assistance From Artificial Intelligence for Breast Cancer Detection and Recall Rates in Adult Patients
A Randomized Controlled Trial Comparing Screening Mammography With and Without Assistance From Artificial Intelligence for Breast Cancer Detection and Recall Rates in Adult Patients
Who can join
As published by the study on ClinicalTrials.gov. "Not stated" means the study hasn't said — ask the study team.
- Age
- 18 Years and older
- Sex
- All sexes
- Healthy volunteers
- Accepted
- Compensation
- Not stated
Other requirements are listed under Eligibility below. Only the study team can confirm whether you can join.
What to expect
No one can promise a trial will help you personally — that is what the research is trying to find out.
What participation involves
Not stated in the study description — ask the study team about visits and procedures.
- Compensation
- Not stated
- Study-related exams and procedures are typically provided at no cost. This is how many trials work in general — confirm the details for this study with the study team.
- Participants are monitored closely by the research team throughout the study.
- Some participants may receive access to an investigational treatment, which is still being studied.
- Your participation helps researchers learn whether this approach could help future patients.
About this study
In plain language
This study compares 3D breast X-rays (mammograms) read by doctors with or without help from an FDA-cleared artificial intelligence (AI) tool. It will test whether AI improves breast cancer screening results, including finding cancer and calls to return for more tests. The study includes adults getting screening mammograms and doctors who read them at participating sites.
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.
Compensation is read from the study's own description and may be missing — always confirm with the study team.
Eligibility
Who can join
- You are at least 18 years old.
- You get a screening mammogram at a participating site, OR you are a radiologist (a doctor who reads medical images) who reads screening mammograms there.
- The site is part of UCLA, UC San Diego, University of Washington-Seattle, University of Wisconsin-Madison, Boston Medical Center, or University of Miami.
Who can't join
- You are a patient who has chosen not to take part in any research at your health system.
Simplified for readability. The official criteria below are what the study team uses.
Official eligibility criteria
This trial will include all radiologists interpreting screening mammography and all adult patients undergoing screening mammography at any of the participating breast imaging facilities across 6 regional health systems (UCLA, UC San Diego, University of Washington-Seattle, University of Wisconsin-Madison, Boston Medical Center, and University of Miami) during the trial period. Individuals must meet the following eligiblity criteria. Inclusion Criteria: 1. Be at least 18 years of age or older 2. Receive a screening mammogram at one of the participating breast imaging facilities OR be a radiologist who interprets screening mammograms at one of the participating breast imaging facilities. Exclusion Criteria: 1\. Patients who have opted out of all research at the health system
Study sites (6)
CA
- University of California Los Angeles Health System · Los Angeles, CA 90024Michelle L'Hommedieu, PhD · Study contact · (310) 592-9454 · mlhommedieu@mednet.ucla.eduHannah S. Milch, MD · Principal investigatorJoann G Elmore, MD, MPH · Principal investigatorMore trials in Los Angeles
- University of California, San Diego · San Diego, CA 92093Haydee Ojeda-Fournier, MD · Study contact · (858) 442-1902 · hojeda@health.ucsd.eduHaydee Ojeda-Fournier, MD · Principal investigatorMore trials in San Diego
FL
- University of Miami Health System · Miami, FL 33136Jose Net, MD · Study contact · (305) 215-0461 · jnet@med.miami.eduJose Net, MD · Principal investigatorMore trials in Miami
MA
- Boston Medical Center · Boston, MA 02118Clare Poynton, MD, PhD · Study contact · (617) 638-6626 · clare.poynton@bmc.orgClare Poynton, MD, PhD · Principal investigatorMore trials in Boston
WA
- University of Washington Health System · Seattle, WA 98195Janie Lee, MD, MSc · Study contact · (206) 606-6241 · jmlee58@fredhutch.orgJanie Lee, MD, MSc · Principal investigatorMore trials in Seattle
WI
- University of Wisconsin-Madison · Madison, WI 53706Christoph Lee, MD, MSc · Study contact · (608) 263-9377 · cilee3@uwhealth.orgChristoph Lee, MD, MSc · Principal investigatorMore trials in Madison