Breast Cancer AI Imaging Study

Completed

Conditions studied: Breast Cancer, Breast Cancer Screening

In brief

This study aims to develop a social health platform called MammoChat (https://MammoChat.com) that allows patients to share their real-world patient data to a trusted network for development of clinical intelligence to improve patient outcomes. Therefore: 1. The investigator will establish a Discourse social network where patients can anonymously and securely share their breast imaging and interact with other patients. 2. The investigator will use standardized questionnaires to understand the impact of use of the social network on outcomes related to breast cancer screening such as anxiety. 3. The investigator will assemble a crowdsourced, de-identified radiographic repository for training, testing, and validating AI models aimed at earlier and more accurate disease detection for breast cancer.

Key facts

Study ID

NCT06604078

Run by

University of Central Florida

People needed

199

Starts

2024-09-05

Expected to finish

2025-09-01

Last updated by the study team

2025-09-12

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• 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

You may not qualify if…

• Minors , ages under 18
• Prisoners. Given the repository design, prisoners are unlikely to participate and provide a consent
• Adults who are unable to provide consent.

Where it is running

• University of Central Florida — Orlando, Florida, United States

Full record on ClinicalTrials.gov

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