This paper is in the following e-collection/theme issue:

Viewpoints on and Experiences with Digital Technologies in Health (94) Machine Learning (1948) Imaging Informatics (278) Decision Support for Health Professionals (1459) Clinical Information and Decision Making (1798) Artificial Intelligence (1980) Pulmonology, COPD (185) Respiratory Medicine (141) Artificial Intelligence in Surgery and Perioperative Medicine (39) Perioperative Risk Assessment (26)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73995, first published .
AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction

AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction

AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction

Authors of this article:

Kecheng Huang1 Author Orcid Image ;   Chujun Wu2 Author Orcid Image ;   Rongpeng Pi3 Author Orcid Image ;   Jieyu Fang3 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Kecheng Huang   1 * , MD ;   Chujun Wu   2 * , MD ;   Rongpeng Pi   3 , MD ;   Jieyu Fang   3 , MD, PhD

1 Department of Anesthesiology, Guangxi Hospital Division of The First Affiliated Hospital, Sun Yat-sen University, Nanning, China

2 Department of Anesthesiology, Sun Yat-sen Memorial Hospital, Guangzhou, China

3 Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

*these authors contributed equally

Corresponding Author:

  • Jieyu Fang, MD, PhD
  • Department of Anesthesiology
  • The First Affiliated Hospital, Sun Yat-sen University
  • No 58, Zhongshan Road 2
  • Guangzhou 510080
  • China
  • Phone: 86 13660121136
  • Email: fangjy@mail.sysu.edu.cn