AI could spot breast cancer risk better than current methods
NCT ID NCT05968157
First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This study is testing whether an artificial intelligence program called Mirai can better identify women at high risk for breast cancer compared to traditional risk models. Researchers will invite 200 women flagged as high-risk by Mirai to receive an additional breast MRI. The goal is to see if the AI-guided approach finds more cancers early, especially across different racial and ethnic groups.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
Artificial intelligence software (Mirai) and breast MRI
What this could lead to
If successful, this could show that AI-based risk assessment is more accurate than current methods, leading to earlier breast cancer detection and more personalized screening.
What could go wrong
This is a relatively small, early-stage study (200 participants) comparing two screening approaches, not a treatment trial. The AI may not prove better in practice, and results may not apply to all populations.
Disclaimer
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the original study
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Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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UMass Medical School
RECRUITINGWorcester, Massachusetts, 01655, United States
Contact Phone: •••-•••-•••• Email: •••••@•••••