Enhancing Radiologists' Performance in Detecting Cerebral Aneurysms Using a Deep Learning Model: A Multicenter Study.

Journal: Academic radiology
PMID:

Abstract

RATIONALE AND OBJECTIVES: This study aimed to develop a deep learning (DL)-based model for detecting and diagnosing cerebral aneurysms in clinical settings, with and without human assistance.

Authors

  • Liyong Zhuo
    Department of Radiology, Affiliated Hospital of Hebei University, Baoding 071000, China.
  • Yu Zhang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Zijun Song
    Department of Critical Care Medicine, Baoding First Central Hospital, Baoding, PR China (Z.S.).
  • Zhanhao Mo
  • Lihong Xing
    Department of Radiology, Affiliated Hospital of Hebei University, Baoding 071000, China.
  • Fengying Zhu
    Department of Radiology, Affiliated Hospital of Hebei University, Baoding, PR China (L.Z., Y.Z., L.X., F.Z., H.M., J.W., X.Y.).
  • Huan Meng
    Department of Radiology, Affiliated Hospital of Hebei University, Baoding, PR China (L.Z., Y.Z., L.X., F.Z., H.M., J.W., X.Y.).
  • Lei Chen
    Department of Chemistry, Stony Brook University Stony Brook NY USA.
  • Guoxiang Qu
    Shanghai United Imaging Intelligence Co., Ltd, Shanghai, PR China (G.Q., P.J., Q.W., R.C., X.C., D.W.).
  • Pengbo Jiang
  • Qian Wang
    Department of Radiation Oncology, China-Japan Union Hospital of Jilin University, Changchun, China.
  • Ruonan Cheng
    Shanghai United Imaging Intelligence Co., Ltd, Shanghai, PR China (G.Q., P.J., Q.W., R.C., X.C., D.W.).
  • Xiaoming Mi
    Great Wall New Media (Hebei) Co., Ltd., Shijiazhuang, PR China (X.M.).
  • Lin Liu
    Institute of Natural Sciences, MOE-LSC, School of Mathematical Sciences, CMA-Shanghai, SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University; Shanghai Artificial Intelligence Laboratory.
  • Nan Hong
    Department of Radiology, Peking University People's Hospital, Beijing, China.
  • Xiaohuan Cao
    School of Automation, Northwestern Polytechnical University, Xi'an, China.
  • Dijia Wu
  • Jianing Wang
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN 37235, USA. Electronic address: jianing.wang@vanderbilt.edu.
  • Xiaoping Yin
    CT-MRI Room, Affiliated Hospital of Hebei University, Baoding, Hebei, China.