Deep learning-aided diagnosis of acute abdominal aortic dissection by ultrasound images.

Journal: Emergency radiology
PMID: 39821588

Abstract

PURPOSE: Acute abdominal aortic dissection (AD) is a serious disease. Early detection based on ultrasound (US) can improve the prognosis of AD, especially in emergency settings. We explored the ability of deep learning (DL) to diagnose abdominal AD in US images, which may help the diagnosis of AD by novice radiologists or non-professionals.

Authors

  • Zhanye Lin
    Shantou University Medical College, Shantou, China.
  • Jian Zheng
    Biospheric Assessment for Waste Disposal Team, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage, Chiba 263-8555, Japan; Fukushima Project Headquarters, National Institute of Radiological Sciences, National Institutes for Quantum and Radiological Science and Technology, 4-9-1 Anagawa, Inage, Chiba 263-8555, Japan. Electronic address: zheng.jian@qst.go.jp.
  • Yaohong Deng
    Department of Research and Development, Yizhun Medical AI Co. Ltd, Beijing, China.
  • Lingyue Du
    Department of Radiology, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, China.
  • Fan Liu
    Hunan Provincial Key Laboratory of Dong Medicine, Hunan University of Medicine, Huaihua, China.
  • Zhengyi Li
    Department of Ultrasound, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.

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