Natural Language Processing-Driven Artificial Intelligence Models for the Diagnosis of Lumbar Disc Herniation with L5 and S1 Radiculopathy: A Preliminary Evaluation.

Abstract

Authors

• PeiYang Wang
  Department of Spine Surgery, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
• Zhe Zhang
  Department of Urology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
• ZhiYang Xie
  Department of Spine Surgery, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
• Lei Liu
  Department of Science and Technology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
• GuanRui Ren
  Department of Spine Surgery, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
• ZongJie Guo
  Department of Spine Surgery, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
• Li Xu
  College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan, China.
• XiangJie Yin
  Department of Spine Surgery, Affiliated ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, Jiangsu, China.
• Yili Hu
  The Key Laboratory of Intelligent Operation and Maintenance Technology & Equipment for Urban Rail Transit of Zhejiang Province, Institute of Precision Machinery and Smart Structure, College of Engineering, Zhejiang Normal University, Jinhua, Zhejiang 321004, P. R. China.
• Yuntao Wang
  Key Laboratory of Pervasive Computing, Ministry of Education, Department of Computer Science and Technology, Tsinghua University, Beijing, China. Electronic address: yuntaowang@tsinghua.edu.cn.
• Xiaotao Wu
  Department of Spine Surgery, ZhongDa Hospital, School of Medicine, Southeast University, Nanjing, China.

Keywords

External Resources