Can AI read the hidden clues in mammograms?

NCT ID NCT06469606

Recruiting now Knowledge-focused Sponsor: Tampere University Hospital Source: ClinicalTrials.gov ↗

First seen Aug 05, 2026 · Last updated Aug 06, 2026 · Updated 1 time

Summary

This study looks at how imaging settings and biological factors affect texture features in mammograms. Researchers will use an AI tool to analyze mammograms from 200 women undergoing mastectomy. The goal is to understand these influences to make AI-based breast cancer detection more reliable and useful in everyday practice.

What this could mean

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

Active substance: AI tool for mammographic texture analysis
What this could lead to: If successful, this could make AI-based breast cancer detection more reliable and personalized by accounting for imaging and biological factors.
What could go wrong: This is an observational study, so it won't directly test a treatment. The AI tool's performance may vary and needs further validation before clinical use.

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 breast neoplasm

As listed by the trial registrant

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

ARTIFICIAL INTELLIGENCE BREAST CANCER MAMMOGRAPHY

Contacts and locations

Locations

Wellbeing Services County of Pirkanmaa
RECRUITING

Tampere, Finland

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