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

Tai-Han Lin   1 * , MD ;   Hsing-Yi Chung   1 * , MS ;   Ming-Jr Jian   1 , MS, PhD ;   Chih-Kai Chang   1 , MS ;   Hung-Hsin Lin   1 , MD ;   Chiung-Tzu Yen   1 , MS ;   Sheng-Hui Tang   1 , MS ;   Pin-Ching Pan   1 , MS ;   Cherng-Lih Perng   1 , MS ;   Feng-Yee Chang   2 , MD, PhD ;   Chien-Wen Chen   3 , MD ;   Hung-Sheng Shang   1 , MD, PhD

1 Division of Clinical Pathology, Department of Pathology, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

2 Division of Infectious Diseases and Tropical Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

3 Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

  • Hung-Sheng Shang, MD, PhD
  • Division of Clinical Pathology, Department of Pathology
  • Tri-Service General Hospital, National Defense Medical Center
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  • Taiwan
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