Utilization of machine learning techniques and restricted cubic splines for the analysis and prediction of postoperative ischemic stroke in patients with type A aortic dissection - Top-Institutions - MDSpire

Utilization of machine learning techniques and restricted cubic splines for the analysis and prediction of postoperative ischemic stroke in patients with type A aortic dissection

  • By

  • Wenjian Ma

  • Siji Chen

  • Yang Zhao

  • Shuanglei Zhao

  • Qianxian Li

  • Yi Hu

  • Ming Gong

  • December 10, 2025

  • 0 min

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Top Institutions in Cardiology

Brief introduction explaining scope and methodology.

  • #1

    Cleveland Clinic
    Cleveland Clinic

    Cleveland, OH

    Key Differentiators

    • Cardiovascular Surgery
    • Machine Learning in Medicine
    • Aortic Disease

  • #2

    Stanford University Medical Center
    Stanford University Medical Center

    Stanford, CA

    Key Differentiators

    • Cardiothoracic Surgery
    • Biomedical Informatics
    • Machine Learning

  • #3

    Johns Hopkins Hospital
    Johns Hopkins Hospital

    Baltimore, MD

    Key Differentiators

    • Cardiovascular Surgery
    • Clinical Data Science
    • Neuroprotection in Surgery

  • #4

    Massachusetts General Hospital
    Massachusetts General Hospital

    Boston, MA

    Key Differentiators

    • Cardiovascular Surgery
    • Artificial Intelligence in Medicine
    • Critical Care

  • #5

    Fuwai Hospital, Chinese Academy of Medical Sciences
    Fuwai Hospital, Chinese Academy of Medical Sciences

    Beijing, Beijing

    Key Differentiators

    • Cardiovascular Surgery
    • Aortic Dissection Research
    • Machine Learning Applications

Original Source(s)

Utilization of machine learning techniques and restricted cubic splines for the analysis and prediction of postoperative ischemic stroke in patients with type A aortic dissection

  • by Wenjian Ma, Siji Chen, Yang Zhao, Shuanglei Zhao, Qianxian Li, Yi Hu, Ming Gong

  • December 10, 2025

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