AI reads breast scans to spot cancer better

NCT ID NCT07605195

Not yet recruiting Diagnosis Sponsor: Yunnan Cancer Hospital Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests an artificial intelligence (AI) system that analyzes breast images (digital breast tomosynthesis) to help doctors diagnose breast cancer more accurately. Researchers will train the AI on thousands of images from 5000 women to detect tumors, tell benign from malignant, and predict cancer types. The goal is to improve diagnosis, especially for hard-to-classify cases, and guide treatment decisions.

What this could mean

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

Active substance: deep learning AI model
What this could lead to: If successful, this could lead to a more accurate, AI-assisted tool for diagnosing breast cancer from imaging, reducing unnecessary biopsies.
What could go wrong: This is an early-stage study without a treatment intervention, so it may not improve patient outcomes in practice. The AI model might not work as well in real-world settings.

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 carcinoma breast neoplasm

As listed by the trial registrant

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

BREAST CARCINOMA

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