Recruiting

UCF MammoChat: Image Repository

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.

ClinicalTrials.gov IDNCT07214883
PhaseNot Applicable
Enrollment20000
SponsorUniversity of Central Florida
Age18 Years and older
SexALL
I'm interested View official listing

Conditions studied

Breast Cancer, Breast Cancer Awareness, Breast Cancer Detection, Breast Cancer Survivors, Breast Cancer Female, Breast Cancer Diagnosis

About this study

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.

Interventions

Primary outcomes

Eligibility information

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.

Study locations

Before you participate: Varda Clinical is an independent discovery tool, not the study sponsor or a medical provider. Eligibility can only be determined by the official study team. Discuss potential risks and benefits with a qualified healthcare professional.

Source: ClinicalTrials.gov. Record last refreshed by Varda Clinical: 2026-10-16.