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Reviews (114) Digital Health Reviews (1477) Scientometrics, Infometrics, and Altmetrics (104) Data Science (298) Artificial Intelligence (1662) Epublishing and Open Access (95) Digital Science, Open Science (85) Machine Learning (1682)

Published on in Vol 13 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54490, first published .
Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis

Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis

Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis

Authors of this article:

MeiJung Wu1, 2 Author Orcid Image ;   Md Mohaimenul Islam3 Author Orcid Image ;   Tahmina Nasrin Poly1 Author Orcid Image ;   Ming-Chin Lin1, 4, 5 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

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  1. Pappa T, Rivas A, Iandiorio M, Hoogesteijn A, Fair J, Rojas Gil A, Burriel A, Bagos P, Chatzipanagiotou S, Ioannidis A. Personalized, disease-stage specific, rapid identification of immunosuppression in sepsis. Frontiers in Immunology 2024;15 View
  2. Özkan İ, Dünya C, Taylan S. Unveiling the conceptual and intellectual map of care bundle research in ICUs: Trends, key issues, and collaborative networks. Nursing in Critical Care 2025;30(2) View
  3. Chen Q, Li W, Wang Y, Chen X, He D, Liu M, Yuan J, Xiao C, Li Q, Chen L, Shen F. Investigating the Association Between Mean Arterial Pressure on 28-Day Mortality Risk in Patients With Sepsis: Retrospective Cohort Study Based on the MIMIC-IV Database. Interactive Journal of Medical Research 2025;14:e63291 View