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

Artificial Intelligence (2129) Clinical Information and Decision Making (1915) Intensive Care Unit (ICU) (160) Machine Learning (2076)

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
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

  1. Sarıdaş A, Çetinkaya R. The Prognostic Value of the CALLY Index in Sepsis: A Composite Biomarker Reflecting Inflammation, Nutrition, and Immunity. Diagnostics 2025;15(8):1026 View
  2. Qi T, Gao Q, Song Y, Li Y, Yao Y, Liu X, Li M, Yang J, Hao Q. Machine Learning Reveals the Value of Unconventional T Lymphocytes in Sepsis and Prognosis of Elderly Patients With Severe Lower Respiratory Tract Infections. Journal of Clinical Laboratory Analysis 2025;39(14) View
  3. Vulpe D, Anghel C, Scheau C, Dragosloveanu S, Săndulescu O. Artificial Intelligence and Its Role in Predicting Periprosthetic Joint Infections. Biomedicines 2025;13(8):1855 View
  4. Miao G, Chen D, Yang X, Yang Y, Jiang Q, Liu L, Lei X. Diagnostic values of TPT1 in patients with sepsis, septic shock and in non-infected controls: A single-center prospective observational cohort study in ICU patients. Science Progress 2025;108(3) View
  5. Ogut E. Artificial Intelligence in Clinical Medicine: Challenges Across Diagnostic Imaging, Clinical Decision Support, Surgery, Pathology, and Drug Discovery. Clinics and Practice 2025;15(9):169 View
  6. Mirmotahari S, maghsoudi A, Amini M, Safari M, Akrami M, Mirnezami S, Najafi A, Kianpour P, Mojtahedzadeh M, Hassani S. Sepsis diagnosis and monitoring: Frontiers in innovative technology. Clinica Chimica Acta 2026;579:120640 View
  7. Pinto A, Pennisi F, Odelli S, De Ponti E, Veronese N, Signorelli C, Baldo V, Gianfredi V. Artificial Intelligence in the Management of Infectious Diseases in Older Adults: Diagnostic, Prognostic, and Therapeutic Applications. Biomedicines 2025;13(10):2525 View
  8. Havelikar U, Bembde A, Patil D, Shinde A, Sharma R, Patel V, Chaudhari N. Recent approaches of artificial intelligence in intensive care unit: A review. Intelligent Hospital 2025:100030 View