Deep Learning-Driven Multimodal Fusion Model for Prediction of Middle Cerebral Artery Aneurysm Rupture Risk.

Journal: Academic radiology
Published Date: Jul 21, 2025

Abstract

RATIONALE AND OBJECTIVES: The decision to treat unruptured intracranial aneurysms remains a clinical dilemma. Middle cerebral artery (MCA) aneurysms represent a prevalent subtype of intracranial aneurysms. This study aims to develop a multimodal fusion deep learning model for stratifying rupture risk in MCA aneurysms.

Authors

  • Xiufen Jia
    Department of Radiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 32500, China (X.J., Y.C., K.Z., C.C., J.L.).
  • Yongchun Chen
    Department of Radiology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
  • Kuikui Zheng
    Department of Radiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang 32500, China (X.J., Y.C., K.Z., C.C., J.L.).
  • Chao Chen
    Department of Neonatology, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
  • Jinjin Liu
    School of Public Health, Hengyang Medical School, University of South China, Hengyang 421001, P. R. China.

Keywords

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