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

Digital Health Reviews (3656) Clinical Information and Decision Making (3693) Decision Support for Health Professionals (2226) Advanced Data Analytics in eHealth (351) Artificial Intelligence (4754) Intensive Care Unit (ICU) (190) Applications of AI (951)

Published on in Vol 28 (2026)

This is a member publication of University of Duisburg-Essen

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76772, first published .
Doctor's hands typing on a laptop, with a stethoscope around their neck.

Patient Benefits in the Context of Sepsis-Related AI-Based Clinical Decision Support Systems: Scoping Review

Patient Benefits in the Context of Sepsis-Related AI-Based Clinical Decision Support Systems: Scoping Review

Authors of this article:

Pascal Raszke1 Author Orcid Image ;   Godwin Denk Giebel1 Author Orcid Image ;   Jürgen Wasem1 Author Orcid Image ;   Michael Adamzik2 Author Orcid Image ;   Hartmuth Nowak3 Author Orcid Image ;   Lars Palmowski2 Author Orcid Image ;   Philipp Heinz4 Author Orcid Image ;   Nina Timmesfeld5 Author Orcid Image ;   Marianne Tokic5 Author Orcid Image ;   Frank Martin Brunkhorst6 Author Orcid Image ;   Nikola Blase1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Bogner E, Thomas A, Bajgain B, van Rassel C, Sauro K, Lee J. Real-World Barriers to and Facilitators of Implementing AI-Based Clinical Decision Support Systems: Scoping Review. JMIR Medical Informatics 2026;14:e89834 View

Conference Proceedings

  1. Sankaravadivel V, Punnoose D. 2026 International Conference on Intelligent and Sustainable AI Systems (ICOSAAS). Mitigating Class Imbalance in Sepsis Prediction using SMOTE and Extra Trees Classifier: A Comparative Analysis of Real and Augmented Data View