UCF MammoChat mammogram image repository for AI development
Official title: UCF MammoChat: An AI-Driven Platform for Personalized Breast Cancer Patient Support -Image Repository
Run by University of Central Florida · NCT07214883 · Data updated 2026-11-12
This project collects donated mammogram images and questionnaire data from adults who had breast imaging to help build and test AI that could read mammograms more accurately.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 20000 (estimated) |
| Sponsor | University of Central Florida Academic / other |
| Drugs / interventions | chemotherapy, radiation |
| Locations | 1 site (Orlando, Florida) |
| Status | Recruiting |
| Started | September 3, 2025 |
| Main results expected | June 30, 2026 |
| Study ends | June 30, 2026 |
| Registry record updated | October 9, 2025 |
| Trial ID | NCT07214883 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18 and older who have had a screening or diagnostic breast imaging test performed at a U.S. institution and who can provide informed consent and access email or a smartphone are ideal candidates.
✕Probably not a fit
Those under 18, incarcerated individuals, adults unable to provide consent, or people without prior mammograms will not be eligible and are unlikely to benefit directly from this data-collection project.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational project led by the University of Central Florida gathers de-identified diagnostic and screening mammogram images from adults alongside questionnaire responses and consent for data use. Collected images come from mammograms performed at U.S. institutions and are uploaded or shared electronically to create a diverse image repository. The dataset will be used to train and validate machine-learning models aimed at improving detection and reducing false positives across different populations and cancer types. Participants can also receive copies of their mammography images as part of the project.
Why it matters
Potential benefit: If successful, the AI models trained on this repository could reduce false positives and unnecessary follow-up procedures, lowering anxiety and improving diagnostic accuracy.
How similar studies have gone: Other research using AI on mammography has shown promising improvements in detection and triage but performance varies and external validation across diverse populations remains incomplete.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adults, ages 18 and older * Had a radiographic breast cancer imaging test, either for screening or diagnosis of breast cancer, with either positive or negative results performed in a US institution. * Have an email account with access to a reliable internet connection or smartphone * Pregnant women may choose to participate. Exclusion Criteria: * Minors , ages under 18 * Prisoners * Adults who are unable to provide consent.
Where it's running
-
University of Central Florida
Orlando, Florida, United States Recruiting
Study contacts
- Principal investigator: Jane Gibson, PhD — University of Central Florida
- Study coordinator: Amoy Fraser, PhD, CCRP, PMP
- Email: Amoy.Fraser@ucf.edu
- Phone: 4072668742
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.