AI vs. human eye: massive trial tests if computers can spot breast cancer better

NCT ID NCT06934239

Summary

This large study is testing whether an FDA-approved artificial intelligence (AI) tool helps radiologists do a better job when reading screening mammograms. It will involve 400,000 mammograms across six major US health systems. For each mammogram, a computer will randomly decide if the radiologist gets the AI's help or reads it alone, to see which method finds more cancers and causes fewer unnecessary callbacks.

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

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

  • Boston Medical Center

    RECRUITING

    Boston, Massachusetts, 02118, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

  • University of California Los Angeles Health System

    RECRUITING

    Los Angeles, California, 90024, United States

    Contact

    Contact

    Contact Phone: •••-•••-•••• Email: •••••@•••••

  • University of California, San Diego

    RECRUITING

    San Diego, California, 92093, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

  • University of Miami Health System

    RECRUITING

    Miami, Florida, 33136, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

  • University of Washington Health System

    RECRUITING

    Seattle, Washington, 98195, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

  • University of Wisconsin-Madison

    RECRUITING

    Madison, Wisconsin, 53706, United States

    Contact Phone: •••-•••-•••• Email: •••••@•••••

    Contact

Conditions

Explore the condition pages connected to this study.