An Explainable Artificial Intelligence Model to Predict Malignant Cerebral Edema after Acute Anterior Circulating Large-Hemisphere Infarction.

Journal: European neurology
PMID: 38565087

Abstract

INTRODUCTION: Malignant cerebral edema (MCE) is a serious complication and the main cause of poor prognosis in patients with large-hemisphere infarction (LHI). Therefore, the rapid and accurate identification of potential patients with MCE is essential for timely therapy. This study utilized an artificial intelligence-based machine learning approach to establish an interpretable model for predicting MCE in patients with LHI.

Authors

  • Liping Cao
    Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
  • Xiaoming Ma
    School of Clinical Medicine, North China University of Science and Technology, Tangshan, China, xiaoming_ma@foxmail.com.
  • Wendie Huang
    Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
  • Geman Xu
    Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
  • Yumei Wang
    Department of Microbiology, Boston University, Boston, MA 02118, USA.
  • Meng Liu
  • Shiying Sheng
    Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
  • Keshi Mao
    Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.

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