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

Advanced Data Analytics in eHealth (241) Clinical Informatics (1468) Clinical Information and Decision Making (2113) Imaging Informatics (347) Artificial Intelligence (2408) Precision Medicine (193)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79985, first published .
Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model

Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model

Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model

Authors of this article:

Hui Li1 Author Orcid Image ;   Jing Chen1 Author Orcid Image ;   Peijun Lin1 Author Orcid Image ;   Youmei Pan1 Author Orcid Image ;   Yawen Cao1 Author Orcid Image ;   Wenfeng Xie1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Hui Li   1 * , MM ;   Jing Chen   1 * , MM ;   Peijun Lin   1 , MM ;   Youmei Pan   1 , MM ;   Yawen Cao   1 , MM ;   Wenfeng Xie   1 * , MM

1 Department of Emergency Medicine, Biomedical InnovationCenter, The Sixth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Guangzhou, Guangdong, China

*these authors contributed equally

Corresponding Author:

  • Wenfeng Xie, MM
  • Department of Emergency Medicine
  • Biomedical InnovationCenter, The Sixth Affiliated Hospital of Sun Yat-sen University
  • Sun Yat-sen University
  • No. 26, Yuancun Erheng Road
  • Tianhe District
  • Guangzhou, Guangdong 510655
  • China
  • Phone: 86 13728010186
  • Email: xiewfeng@mail.sysu.edu.cn