A Multidisciplinary Team–Based Large Language Model Framework for Predicting Postoperative Neurological Complications in Acute Type A Aortic Dissection: Model Development and Validation Study
A Multidisciplinary Team–Based Large Language Model Framework for Predicting Postoperative Neurological Complications in Acute Type A Aortic Dissection: Model Development and Validation Study
Jili Li
1
* , BS ;
Julin Zhang
2
* , BS ;
Xingrui Tao
3
, BS ;
Yaoye Chen
3
, BS ;
Siqi Xun
2
, BS ;
Guangshuo Qin
4
, BDS ;
Kaiyue Diao
5
, MD ;
Chaoyi Qin
2
, MD
1
Department of Thoracic Surgery and Institute of Thoracic Oncology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
2
Department of Cardiovascular Surgery and Cardiovascular Surgery Research Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, China
3
West China School of Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China
4
School of Computer Science, Shanghai Jiao Tong University, Shanghai, China
5
Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
*these authors contributed equally
Corresponding Author:
-
Chaoyi Qin, MD
-
Department of Cardiovascular Surgery and Cardiovascular Surgery Research Laboratory
-
West China Hospital, Sichuan University
-
No. 37, Guoxue Alley
-
Chengdu, Sichuan 610041
-
China
-
Phone:
86 028 85422897
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Email: qinchaoyi@wchscu.edu.cn