Clinical trial · Observational
Breast Cancer AI Imaging Study
Elucidating the Impact of Social Wellness and Artificial Intelligence on the Psychological Consequences of Breast Cancer Imaging
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
| Breast Cancer Screening | Breast Neoplasm | PROBABILISTIC | 0.70 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (0)
[]Primary outcomes (3)
- measure
- AI Model Development
- timeFrame
- 25 years
- description
- Train, test and validate AI models with de-identified radiographic images collected from participants.
- measure
- Psychological Impact of Breast Cancer Screening
- timeFrame
- 25 years
- description
- Assess user anxiety using the standardized COS-BC (Consequences of Screening in Breast Cancer) questionnaire.
- measure
- Social Discourse for Patients on Wellness Network
- timeFrame
- 25 years
- description
- Assess patient participation on Discourse social network using standardized user metrics such as activity logs, images posted, other interactions, etc.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
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 Exclusion Criteria: * 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.
References
Publications (0)
Data not yet available