Artificial intelligence in predicting postoperative heterotopic ossification following anterior cervical disc replacement.

Journal: European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PMID: 39073460

Abstract

OBJECTIVE: This study aimed to develop and validate a machine learning (ML) model to predict high-grade heterotopic ossification (HO) following Anterior cervical disc replacement (ACDR).

Authors

  • Rui Zong
    Department of Neurosurgery, First Medical Center of Chinese PLA General Hospital, 100853, Beijing, China. Electronic address: zongrui11@126.com.
  • Can Guo
    Department of Cardiology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
  • Jun-Bo He
    Department of Orthopaedic Surgery, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
  • Ting-Kui Wu
    Department of Orthopaedic Surgery, West China Hospital, Sichuan University, No. 37 Guo Xue Xiang, Chengdu, Sichuan, 610041, China.
  • Hao Liu
    Key Laboratory of Development and Maternal and Child Diseases of Sichuan Province, Department of Pediatrics, Sichuan University, Chengdu, China.

Keywords

External Resources

Popular Topics
Recent Journals