Establishment and validation of an interactive artificial intelligence platform to predict postoperative ambulatory status for patients with metastatic spinal disease: a multicenter analysis.

Journal: International journal of surgery (London, England)
PMID: 38376838

Abstract

BACKGROUND: Identification of patients with high-risk of experiencing inability to walk after surgery is important for surgeons to make therapeutic strategies for patients with metastatic spinal disease. However, there is a lack of clinical tool to assess postoperative ambulatory status for those patients. The emergence of artificial intelligence (AI) brings a promising opportunity to develop accurate prediction models.

Authors

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

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