Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72482, first published .
AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study

AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study

AI Model Based on Diaphragm Ultrasound to Improve the Predictive Performance of Invasive Mechanical Ventilation Weaning: Prospective Cohort Study

Feier Song   1 * , MD ;   Huazhang Liu   2 * , MS ;   Huan Ma   3 , MD ;   Xuanhui Chen   2 , MS ;   Shouhong Wang   4 , MD ;   Tiehe Qin   4 , MD ;   Huiying Liang   2 , PhD ;   Daozheng Huang   4, 5 , MD

1 Department of Emergency and Intensive Care Unit, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China

2 Medical Big Data Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China

3 Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Provincial Cardiovascular Institute, Guangzhou, China

4 Department of Critical Care Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Provincial Geriatrics Institute, Guangzhou, China

5 Office of Organ Procurement Organizations, Medical Department, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Daozheng Huang, MD
  • Department of Critical Care Medicine
  • Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangdong Provincial Geriatrics Institute
  • No. 106, Zhongshaner Rd
  • Guangzhou 510080
  • China
  • Phone: 86 15920151904
  • Email: hdzdoctor@139.com