Artificial intelligence assistance improves the accuracy and efficiency of intracranial aneurysm detection with CT angiography.

Journal: European journal of radiology
Published Date: Jan 20, 2022

Abstract

PURPOSE: The aim of this study was to evaluate whether a novel head and neck artificial intelligence (AI)-assisted diagnostic system based on a three-dimensional convolutional neural network (3D-CNN) could improve the accuracy, efficiency and working mode of intracranial aneurysm (IA) detection.

Authors

  • Xin Wei
    Department of Urology, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510700, China.
  • Jing Jiang
    Department of Critical Care Medicine, Chongqing General Hospital, Chongqing, China.
  • Wenting Cao
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Yuzhong District, 400010 Chongqing, China. Electronic address: 2738702563@qq.com.
  • Han Yu
    1Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY), Nanyang Technological University, Singapore, 639798 Singapore.
  • Hao Deng
    Faculty of Information Technology, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau, China.
  • Jinhua Chen
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Yuzhong District, 400010 Chongqing, China. Electronic address: 13908391746@163.com.
  • Shanwei Bai
    Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, No. 74 Linjiang Rd, Yuzhong District, Chongqing, 400010, China.
  • Zhiming Zhou
    Department of Neurology, The First Affiliated Hospital of Wannan Medical College, Yijishan Hospital, Wuhu, China.

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