Breast Cancer AI Imaging Study

NCT06604078 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 199

Last updated 2025-09-12

No results posted yet for this study

Summary

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

Sponsors & Collaborators

  • University of Central Florida

    lead OTHER

Principal Investigators

  • Dexter Hadley, M.D., PhD, M.S.E · University of Central Florida

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-09-05
Primary Completion
2025-09-01
Completion
2025-09-01

Countries

  • United States

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06604078 on ClinicalTrials.gov