UCF MammoChat: An AI-Driven Platform for Personalized Breast Cancer Patient Support -Image Repository
University of Central Florida
Summary
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.
Description
Breast cancer patients often face overwhelming emotional and practical challenges, from feeling isolated to struggling to find the right information or resources during their treatment and recovery. These barriers can greatly impact both their quality of life and the effectiveness of their care. Among all US women, breast cancer is the second most common cancer and the second most common cause of cancer death. Recent guidelines recommend screening mammography in healthy women starting at 40 years old. The goal of screening mammography is to catch pre-cancerous lesions earlier so there is a hig…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- Yes
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.
Interventions
- OtherNo Interventions
No intervention for participants.
Location
- University of Central FloridaOrlando, Florida