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

Advanced Data Analytics in eHealth (342) Clinical Informatics (2196) Clinical Information and Decision Making (3610) Imaging Informatics (450) Artificial Intelligence (4625) Precision Medicine (430)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/79985, first published .
Surgeons in blue scrubs and masks performing a surgical procedure with illuminated instruments.

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, 2 Author Orcid Image ;   Jing Chen1, 2 Author Orcid Image ;   Peijun Lin1, 2 Author Orcid Image ;   Youmei Pan1, 2 Author Orcid Image ;   Yawen Cao1, 2 Author Orcid Image ;   Wenfeng Xie1, 2 Author Orcid Image
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Journals

  1. Li H, Chen J, Lin P, Pan Y, Cao Y, Xie W. Correction: Enterocutaneous Fistula–Associated Sepsis and Mortality: Development and Validation of a Multimodal Artificial Intelligence Prediction Model. JMIR Medical Informatics 2026;14:e104943 View