A Causal and interpretable machine learning framework for postcranioplasty risk prediction and surgical decision support - Top-Institutions - MDSpire

A Causal and interpretable machine learning framework for postcranioplasty risk prediction and surgical decision support

  • By

  • Wenbo Li

  • Bao Wang

  • Tianzun Li

  • Yiwen Ma

  • Haoyong Jin

  • Jiangli Zhao

  • Zhiwei Xue

  • Nan Su

  • Yanya He

  • Jiaqi Shi

  • Xuchen Liu

  • Xiaoyang Liu

  • Tianzi Wang

  • Jiwei Wang

  • Chao Li

  • Can Yan

  • Yang Ma

  • Qichao Qi

  • Xinyu Wang

  • Weiguo Li

  • Bin Huang

  • Donghai Wang

  • Xuelian Wang

  • Yan Qu

  • Xingang Li

  • Chen Qiu

  • Ning Yang

  • January 21, 2026

  • 0 min

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Top Institutions in Surgery

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Neurosurgery
    • Clinical Informatics
    • Machine Learning

  • #2

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Neurosurgery
    • Biomedical Engineering
    • Data Science

  • #3

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Neurosurgery
    • Clinical Research
    • Health Informatics

  • #4

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

    San Francisco, CA

    Key Differentiators

    • Neurosurgery
    • Biomedical Informatics
    • Machine Learning

  • #5

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Neurosurgery
    • Artificial Intelligence
    • Clinical Decision Support

Original Source(s)

A Causal and interpretable machine learning framework for postcranioplasty risk prediction and surgical decision support

  • by Wenbo Li, Bao Wang, Tianzun Li, Yiwen Ma, Haoyong Jin, Jiangli Zhao, Zhiwei Xue, Nan Su, Yanya He, Jiaqi Shi, Xuchen Liu, Xiaoyang Liu, Tianzi Wang, Jiwei Wang, Chao Li, Can Yan, Yang Ma, Qichao Qi, Xinyu Wang, Weiguo Li, Bin Huang, Donghai Wang, Xuelian Wang, Yan Qu, Xingang Li, Chen Qiu, Ning Yang

  • January 21, 2026

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