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Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/91257, first published .
Two doctors in blue scrubs examining a medical scan

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
  • Email: qinchaoyi@wchscu.edu.cn