Breast cancer risk assessment for screening: a hybrid artificial intelligence approach - Top-Institutions - MDSpire

Breast cancer risk assessment for screening: a hybrid artificial intelligence approach

  • By

  • Raquel Tendero

  • Andrés Larroza

  • Francisco Javier Pérez-Benito

  • Juan Carlos Perez-Cortes

  • Marta Román

  • Rafael Llobet

  • September 11, 2025

  • 0 min

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Top Institutions in Radiology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Radiology
    • Oncology
    • Artificial Intelligence
    • Breast Imaging

  • #2

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Oncology
    • Radiology
    • Breast Cancer Research
    • Machine Learning

  • #3

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Biomedical Informatics
    • Radiology
    • Artificial Intelligence
    • Cancer Biology

  • #4

    University of California, San Francisco (UCSF) Medical Center
    University of California, San Francisco (UCSF) Medical Center

    San Francisco, CA

    Key Differentiators

    • Radiology
    • Oncology
    • Artificial Intelligence
    • Breast Imaging

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Radiology
    • Oncology
    • Artificial Intelligence
    • Breast Cancer Screening

Original Source(s)

Breast cancer risk assessment for screening: a hybrid artificial intelligence approach

  • by Raquel Tendero, Andrés Larroza, Francisco Javier Pérez-Benito, Juan Carlos Perez-Cortes, Marta Román, Rafael Llobet

  • September 11, 2025

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