AI takes on breast cancer screening: a 16,000-Woman trial
NCT ID NCT07411443
First seen Feb 18, 2026 · Last updated Jun 23, 2026 · Updated 17 times
Summary
This study is testing whether AI-assisted ultrasound and mammography can improve breast cancer screening compared to standard methods. About 16,000 women aged 35-69 will be split into two groups: one gets AI-assisted imaging, the other gets routine screening. The goal is to see if AI helps detect early-stage breast cancer more effectively and efficiently.
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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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Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Fudan University Shanghai Cancer Center
RECRUITINGShanghai, Shaghai, 021, China
Contact Phone: •••-•••-•••• Email: •••••@•••••
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
Active substance
AI-assisted imaging technology (ultrasound and mammography)
What this could lead to
If successful, this could show that AI helps find breast cancer earlier and more efficiently in large populations, potentially improving screening programs.
What could go wrong
This is a screening study, not a treatment trial. The AI tools may not significantly outperform standard screening, and results may not apply to all populations.
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.