UCF MammoChat: Image Repository

Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18+
SponsorUniversity of Central Florida

About this trial

This study aims to develop AI models to better read diagnostic mammograms for various populations and types of breast cancer, using the images that participants donate and their responses from study questionnaire to improve patient outcomes. This study also aims to provide mammography images to participants.

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

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.

Disqualifiers

Minors , ages under 18

Prisoners

Adults who are unable to provide consent.

Trial population

Participants will be enrolled online from across the US. All study procedures are completed online. Potential participants will not be screened for eligibility.

Trial design

Design model

Case-only

Time perspective

Other

Treatments tested in this trial

  • No Interventions

    Other intervention

    No intervention for participants.

Treatment groups

20,000 Participants
are divided into 2 treatment groups
Group A: Breast Cancer Patients1 intervention
Group B: Controls1 intervention

Trial outcomes

Primary outcomes

1

AI model training using mammograms

Train, test and validate AI models with de-identified mammograms collected from imaging facilities.

Time frame
1 year
2

Provide mammography images to participants

Once images are received, participant will have access to view their mammograms.

Time frame
1 year

Secondary outcomes

Other outcomes

Sponsors and contacts

Click on the lead sponsor to view all of their trials.

University of Central Florida

Lead sponsor

Florida Department of Health

Collaborator