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
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Email: ddjtzp@163.com