Deep learning-based platform performs high detection sensitivity of intracranial aneurysms in 3D brain TOF-MRA: An external clinical validation study.

Journal: International journal of medical informatics
Published Date: May 16, 2024

Abstract

PURPOSE: To evaluate the diagnostic efficacy of a developed artificial intelligence (AI) platform incorporating deep learning algorithms for the automated detection of intracranial aneurysms in time-of-flight (TOF) magnetic resonance angiography (MRA).

Authors

  • Yuanyuan Li
    Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Huiling Zhang
    Joint Engineering Research Center for Health Big Data Intelligent Analysis Technology, Center for High Performance Computing, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
  • Yun Sun
    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China.
  • Qianrui Fan
    Institute of Research, Ocean International Center, InferVision, Chaoyang District, Beijing, 100025, China.
  • Long Wang
  • Congshan Ji
    Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, China.
  • HuiGu
    Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, China; Department of Radiology, Liaocheng People's Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, China; Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, China.
  • Baojin Chen
    Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, China.
  • Shuo Zhao
    College of Information Science and Engineering, Ocean University of China, Qingdao 266100, PR China.
  • Dawei Wang
    Institute of Advanced Research, Infervision Medical Technology Co., Ltd, Beijing, China.
  • Pengxin Yu
    Institute of Advanced Research, Infervision, Beijing, China.
  • Junchen Li
    Department of Radiology, Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, China.
  • Shifeng Yang
    Department of Radiology, Shandong Provincial Hospital affiliated to Shandong University, Shandong University, Jinan, Shandong, P.R. China.
  • Chuanchen Zhang
    Department of Radiology, Liaocheng People's Hospital, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong, China.
  • Ximing Wang

Keywords

External Resources

Popular Topics
Recent Journals