Plain-English translation of NCT07411443 on ClinicalTrials.gov ↗ · Source last updated · Translation generated · How we translate trials
This study doesn't follow the usual testing phases — it may be an observational study or a different type of research.
This trial is testing whether artificial intelligence (AI)-assisted imaging—used together with standard ultrasound and mammography—can detect breast cancer more accurately and efficiently than screening done the traditional way. Researchers will enroll 16,000 women and compare two groups: one receiving AI-enhanced screening and one receiving conventional screening. The goal is to see if this new technology helps catch breast cancer earlier and works well in real-world screening programs.
Breast cancer screening is important for catching disease early, but current methods sometimes miss cancers or require extra follow-up visits. This trial exists to determine whether AI technology can make screening faster, more accurate, and more efficient for large groups of women.
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If you join this study, you will be assigned to either the AI-enhanced screening group or the standard screening group. If you are in the AI group, you will receive both AI-assisted ultrasound and AI-assisted mammography scans. If you are in the standard group, you will first have an ultrasound, and if needed, a mammography follow-up. The researchers will track how well each approach works at detecting breast cancer and compare the costs and benefits of both methods.
AI-generated summary from trial data · Jun 3, 2026 · Not medical advice
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