Using AI to improve same-day breast cancer imaging results

Using artificial intelligence to support efficient same-day diagnostic imaging in breast cancer screening

['FUNDING_OTHER'] · UNIVERSITY OF CALIFORNIA LOS ANGELES · NIH-11125051

This study is looking at how using artificial intelligence can make breast cancer screenings faster and more accurate, helping to reduce the stress of false alarms for patients and ensuring that those who need more tests get them quickly.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF CALIFORNIA LOS ANGELES (nih funded)
Locations1 site (LOS ANGELES, UNITED STATES)
Trial IDNIH-11125051 on ClinicalTrials.gov

What this research studies

This research aims to enhance the efficiency of breast cancer screening by integrating artificial intelligence (AI) into the diagnostic imaging process. By providing immediate results at the point of care, the study seeks to reduce the number of false-positive recalls and the associated anxiety experienced by patients. The AI solution will help streamline the diagnostic workflow, allowing for quicker follow-up for those who need further evaluation. Ultimately, the goal is to improve patient satisfaction and reduce unnecessary procedures.

Who could benefit from this research

Good fit: Ideal candidates for this research are women undergoing routine breast cancer screening who may experience anxiety from potential false-positive results.

Not a fit: Patients who have already been diagnosed with breast cancer or those not participating in screening programs may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to faster and more accurate breast cancer screening, reducing anxiety and unnecessary procedures for patients.

How similar studies have performed: Other studies have shown promise in using AI for diagnostic imaging, indicating that this approach could be effective in improving screening outcomes.

Where this research is happening

LOS ANGELES, 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 →

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.