Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/86327, first published .
Deep Learning for Dynamic Prognostic Prediction in Minimally Invasive Surgery for Intracerebral Hemorrhage: Model Development and Validation Study

Deep Learning for Dynamic Prognostic Prediction in Minimally Invasive Surgery for Intracerebral Hemorrhage: Model Development and Validation Study

Deep Learning for Dynamic Prognostic Prediction in Minimally Invasive Surgery for Intracerebral Hemorrhage: Model Development and Validation Study

Jingxuan Wang   1 * , MD ;   Jian Shi   2 * , PhD ;   Qing Ye   3 , MD ;   Danyang Chen   1 , MD ;   Yuhao Sun   1 , MD ;   Chao Pan   1 , MD ;   Yingxin Tang   1 , MD ;   Ping Zhang   1 , MD ;   Zhouping Tang   1, 4 , MD

1 Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China

2 State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan City, China

3 Big Data and Artificial Intelligence Office, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan City, China

4 Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan city, China

*these authors contributed equally

Corresponding Author:

  • Zhouping Tang, MD
  • Department of Neurology
  • Tongji Hospital, Tongji Medical College
  • Huazhong University of Science and Technology
  • No. 1095, Jiefang Avenue
  • Wuhan City 430030
  • China
  • Phone: 86 83663337
  • Email: ddjtzp@163.com