Predictive Model Utilizing Machine Learning for Complications Following Breast Reconstruction After Mastectomy - Top-Institutions - MDSpire

Predictive Model Utilizing Machine Learning for Complications Following Breast Reconstruction After Mastectomy

  • By

  • Mohammed S. Shaheen

  • Brennen T. McManus

  • Clara M. Cullen

  • Jung-Sheng Chen

  • Arash Momeni

  • Chang-Fu Kuo

  • Ping-Han Tsai

  • Kevin C. Chung

  • April 15, 2026

  • 0 min

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Top Institutions in Obgyn

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Breast Surgery
    • Plastic and Reconstructive Surgery
    • Oncology
    • Biomedical Informatics

  • #2

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Breast Oncology
    • Plastic Surgery
    • Clinical Informatics

  • #3

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Plastic and Reconstructive Surgery
    • Oncology
    • Health Data Science

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Plastic Surgery
    • Breast Oncology
    • Biomedical Informatics

  • #5

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Plastic Surgery
    • Oncology
    • Health Informatics

Original Source(s)

Predictive Model Utilizing Machine Learning for Complications Following Breast Reconstruction After Mastectomy

  • by Mohammed S. Shaheen, Brennen T. McManus, Clara M. Cullen, Jung-Sheng Chen, Arash Momeni, Chang-Fu Kuo, Ping-Han Tsai, Kevin C. Chung

  • April 15, 2026

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