Gated recurrent unit with decay has real-time capability for postoperative ileus surveillance and offers cross-hospital transferability.

Journal: Communications medicine
Published Date: Aug 4, 2025

Abstract

BACKGROUND: Ileus, a postoperative complication after colorectal surgery, increases morbidity, costs, and hospital stays. Assessing risk of ileus is crucial, especially with the trend towards early discharge. Prior studies assessed risk of ileus with regression models, the role of deep learning remains unexplored.

Authors

  • Xiaoyang Ruan
    School of Information Science and Engineering, Xiamen University, Xiamen 361005, China. ruanxiaoyang@stu.xmu.edu.cn.
  • Sunyang Fu
    Department of Artificial Intelligence and Informatics, Mayo Clinic, Rochester, USA.
  • Heling Jia
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.
  • Kellie L Mathis
    Department of Colon and Rectal Surgery, Mayo Clinic, Rochester, MN, USA.
  • Cornelius A Thiels
    Department of Surgery, Division of Hepatobiliary and Pancreas Surgery, Mayo Clinic, Rochester, MN, USA.
  • Schaeferle M Gavin
    Department of Quantitative Health Sciences, Mayo Clinic, Rochester, NY, USA.
  • Patrick M Wilson
    Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota, USA.
  • Curtis B Storlie
    Mayo Clinic, Rochester, MN.
  • Hongfang Liu
    Department of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, MN, United States.

Keywords

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