Development and validation of deep learning models for bowel obstruction on plain abdominal radiograph.

Journal: The Journal of international medical research
PMID: 39340252

Abstract

OBJECTIVE: Artificial intelligence (AI) could help medical practitioners in analyzing radiological images to determine the presence and site of bowel obstruction. This retrospective diagnostic study proposed a series of deep learning (DL) models for diagnosing bowel obstruction on abdominal radiograph.

Authors

  • Yao Li
    Center of Robotics and Intelligent Machine, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Science, No. 266 Fangzhen Road, Beibei District, Chongqing, 400714, China.
  • Shiqi Zhu
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Suzhou , Jiangsu, 215000, China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Bowei Mao
    Department of Radiology, Suzhou Hospital of Traditional Chinese Medicine, Suzhou, China.
  • Jielu Zhou
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, # 899 Pinghai St., Suzhou, Jiangsu, 215006, China.
  • Jinzhou Zhu
    Department of Gastroenterology, The First Affiliated Hospital of Soochow University, Suzhou 215000, China.
  • Chenqi Gu
    Department of Radiology, the First Affiliated Hospital of Soochow University, Suzhou, Jiangsu 215006, China.

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