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

Artificial Intelligence (1602) Clinical Information and Decision Making (1548) Intensive Care Unit (ICU) (128) Machine Learning (1627)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56155, first published .
AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study

AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study

AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study

Authors of this article:

Tai-Han Lin1 Author Orcid Image ;   Hsing-Yi Chung1 Author Orcid Image ;   Ming-Jr Jian1 Author Orcid Image ;   Chih-Kai Chang1 Author Orcid Image ;   Hung-Hsin Lin1 Author Orcid Image ;   Chiung-Tzu Yen1 Author Orcid Image ;   Sheng-Hui Tang1 Author Orcid Image ;   Pin-Ching Pan1 Author Orcid Image ;   Cherng-Lih Perng1 Author Orcid Image ;   Feng-Yee Chang2 Author Orcid Image ;   Chien-Wen Chen3 Author Orcid Image ;   Hung-Sheng Shang1 Author Orcid Image
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