Breast Cancer AI Imaging Study

NCT06604078 | Completed

• 1 other identifier: STUDY00005494
• Study Type: observational
• Target: 199
• Locations: 1 country
• Sites: 1

Brief 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. 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. 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. 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

Breast Cancer; Breast Cancer Screening

Keywords

Breast Cancer; Artifical Inteligence; AI

Outcome Measures

Primary Outcomes (3)

• AI Model Development

  Train, test and validate AI models with de-identified radiographic images collected from participants.

  25 years

• Psychological Impact of Breast Cancer Screening

  Assess user anxiety using the standardized COS-BC (Consequences of Screening in Breast Cancer) questionnaire.

  25 years

• Social Discourse for Patients on Wellness Network

  Assess patient participation on Discourse social network using standardized user metrics such as activity logs, images posted, other interactions, etc.

  25 years

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Participants will be enrolled online from across the US. Potential participants will not be screened for eligibility. In the informed consent process, participants will self-disclose if they have done breast cancer imaging at a US institution. Pregnant women may choose to participate in the repository.

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.

Sponsors & Collaborators

• University of Central Florida: lead

Study Sites (1)

University of Central Florida

Orlando, Florida, 32827, United States

Location

MeSH Terms

Conditions

Breast Neoplasms

Condition Hierarchy (Ancestors)

Neoplasms by Site; Neoplasms; Breast Diseases; Skin Diseases; Skin and Connective Tissue Diseases

Study Officials

• Dexter Hadley, M.D., PhD, M.S.E

  University of Central Florida

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: OTHER
• Target Duration: 1 Year
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: September 9, 2024
• First Posted: September 19, 2024
• Study Start: September 5, 2024
• Primary Completion: September 1, 2025
• Study Completion: September 1, 2025
• Last Updated: September 12, 2025

Record last verified: 2025-09

Locations

US (1)