AI-Powered MRI could revolutionize breast cancer screening without contrast dyes

NCT ID NCT07205276

Not yet recruiting Diagnosis Sponsor: Second Affiliated Hospital, School of Medicine, Zhejiang University Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study will test whether artificial intelligence can analyze non-contrast breast MRI scans to detect cancer early, avoiding the need for contrast agents that can be costly and risky. Researchers plan to enroll 30,000 women aged 30-70 and compare AI readings to standard radiologist interpretations. If successful, this approach could offer a safer, more accessible screening option, especially for women with dense breast tissue.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Non-contrast multiparametric breast MRI with AI-based radiomics analysis
What this could lead to: If successful, this could provide a safer, more accurate breast cancer screening method that avoids contrast agents and works well for women with dense breast tissue.
What could go wrong: The AI model is still being developed and validated; it may not perform as well in real-world settings or across diverse populations. The trial is not yet recruiting, so results are years away.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

breast cancer

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

AI (ARTIFICIAL INTELLIGENCE) BREAST CANCER DETECTION EARLY DETECTION OF CANCER

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