AI takes on breast cancer screening: a 16,000-Woman trial

NCT ID NCT07411443

Recruiting now Diagnosis Sponsor: Fudan University Source: ClinicalTrials.gov ↗

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

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.

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.

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.

BREAST CANCER SCREENING

Contacts and locations

Locations

Fudan University Shanghai Cancer Center
RECRUITING

Shanghai, Shaghai, 021, China

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