Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54621, first published .
Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation

Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation

Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation

Meicheng Yang   1 * , PhD ;   Jinqiang Zhuang   2, 3 * , MD ;   Wenhan Hu   4 , PhD ;   Jianqing Li   1, 5 , PhD ;   Yu Wang   3 , MD ;   Zhongheng Zhang   6 , MD ;   Chengyu Liu   1 , PhD ;   Hui Chen   4 , MD

1 State Key Laboratory of Digital Medical Engineering, School of Instrument Science and Engineering, Southeast University, Nanjing, China

2 Emergency Intensive Care Unit (EICU), The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China

3 Key Laboratory of Big Data Analysis and Knowledge Services of Yangzhou City, Yangzhou University, Yangzhou, China

4 Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, China

5 School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China

6 Department of Emergency Medicine, Key Laboratory of Precision Medicine in Diagnosis and Monitoring Research of Zhejiang Province, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China

*these authors contributed equally

Corresponding Author:

  • Hui Chen, MD
  • Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital
  • School of Medicine
  • Southeast University
  • No 87, Dingjiaqiao Road, Gulou District
  • Nanjing, 210009
  • China
  • Phone: 86 15905162429
  • Email: 15905162429@163.com