Improving breast cancer screening using advanced AI technology

SCH: Robust Multimodal Longitudinal AI for Enhanced Breast Cancer Screening

['FUNDING_R01'] · UNIVERSITY OF CONNECTICUT STORRS · NIH-11063443

This study is working on using smart computer technology to make mammograms better at finding breast cancer, so women can get more accurate results and earlier diagnoses.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF CONNECTICUT STORRS (nih funded)
Locations1 site (STORRS-MANSFIELD, UNITED STATES)
Trial IDNIH-11063443 on ClinicalTrials.gov

What this research studies

This research aims to enhance breast cancer screening by developing advanced artificial intelligence algorithms that optimize the detection process. It focuses on improving the accuracy of mammograms, particularly 3D mammography, which is increasingly used for its ability to provide detailed views of breast tissue. By addressing the challenges faced by radiologists, such as high workloads and the risk of false positives, this project seeks to create a more reliable screening method that can lead to earlier and more accurate diagnoses for women. The study will utilize deep learning techniques to analyze mammogram images and improve clinical decision-making.

Who could benefit from this research

Good fit: Ideal candidates for this research are women aged 40 and older who are undergoing routine breast cancer screening.

Not a fit: Patients who are not undergoing breast cancer screening or those with advanced breast cancer may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate breast cancer screenings, reducing false positives and missed diagnoses, ultimately improving patient outcomes.

How similar studies have performed: Other research has shown promising results using AI in medical imaging, indicating that this approach has the potential for significant advancements in breast cancer detection.

Where this research is happening

STORRS-MANSFIELD, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Conditions: American Cancer Society

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.