Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review - Top-Institutions - MDSpire

Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review

  • By

  • Shiqiong Yan

  • Ping Zhang

  • Wanwan Qiao

  • Sijia Xie

  • Huan Hu

  • Yi Gao

  • Linli Xie

  • Jie Jing

  • June 10, 2026

  • 0 min

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Keck School of Medicine of the University of Southern California
    Keck School of Medicine of the University of Southern California

    Los Angeles, California

    Key Differentiators

    • Surgery
    • Machine Learning

  • #2

    Washington University School of Medicine in St. Louis
    Washington University School of Medicine in St. Louis

    St. Louis, Missouri

    Key Differentiators

    • Surgery
    • Machine Learning

Original Source(s)

Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review

  • by Shiqiong Yan, Ping Zhang, Wanwan Qiao, Sijia Xie, Huan Hu, Yi Gao, Linli Xie, Jie Jing

  • June 10, 2026

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