Artificial Intelligence-Based prediction model for surgical site infection in metastatic spinal disease: a multicenter development and validation study.

Journal: International journal of surgery (London, England)
Published Date:

Abstract

BACKGROUND: Treatment of metastatic spinal disease often involves surgical intervention; however, surgical site infections (SSI) pose a great challenge for spine surgeons. At present, there is an absence of reliable clinical tools for predicting SSI, which can adversely affect treatment decisions and overall patient management. This study aims to construct and validate an application to stratify the patients at high risk of SSI among those with metastatic spinal disease using an artificial intelligence (AI) approach.

Authors

  • Yunpeng Cui
    Department of Orthopedic Surgery, Peking University First Hospital.
  • Xuedong Shi
    Department of Orthopedic Surgery, Peking University First Hospital.
  • Qiwei Wang
    School of Mechanical Engineering & Automation, Beihang University, Beijing, China.
  • Yong Qin
    IBM Research, Beijing, China.
  • Xiongwei Zhao
    Department of Orthopaedic Surgery, The PLA 307 Clinical College of Anhui Medical University, The Fifth Clinical Medical College of Anhui Medical University, Hefei, China.
  • Xiaotong Che
    Department of Evaluation Office, Hainan Cancer Hospital, Haikou.
  • Shengjie Wang
    Department of Orthopedic Surgery, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai, China.
  • Yuanxing Pan
    Department of Orthopedic Surgery, Peking University First Hospital.
  • Bing Wang
    Computer Science & Engineering Department at the University of Connecticut.
  • Yuncen Cao
    Senior Department of Orthopedics, The Fourth Medical Center of PLA General Hospital, Beijing, China.
  • Yaosheng Liu
    National Clinical Research Center for Orthopedics, Sports Medicine and Rehabilitation.
  • Mingxing Lei
    Department of Orthopedic Surgery, Hainan Hospital of Chinese People's Liberation Army (PLA) General Hospital, Sanya, China.

Keywords

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