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

Decision Support for Health Professionals (2268) Clinical Information and Decision Making (3769) Human Factors and Usability Case Studies (1314) Machine Learning (3235) Intensive Care Unit (ICU) (191) Computer-Aided Diagnosis (427) Nephrology/Renal Disorders (143)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63709, first published .
Doctor monitoring ICU patient vitals on a computer screen in a modern hospital room

Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study

Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study

Authors of this article:

Benjamin Popoff1, 2 Author Orcid Image ;   Sandie Cabon2 Author Orcid Image ;   Marc Cuggia2 Author Orcid Image ;   Guillaume Bouzillé2 Author Orcid Image ;   Thomas Clavier1, 3 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Abdelbaky A, Elmasry W, Awad A, Khan S. Role of Artificial Intelligence in Critical Care Medicine: A Literature Review. Cureus 2025 View
  2. 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 2026;2(1):100030 View
  3. Popoff B, Delange B, Nicolas J, Le Gall A, Dahamna B, Cuggia M, Clavier T, Bouzillé G. Development and validation of an interpretable predictive machine learning model for successful weaning of continuous renal replacement therapy. Scientific Reports 2025;15(1) View
  4. Chen H, Yang X, Peng J, Xu X, Li Y, Tong Z, Gao C. Development and Application of a Unplanned Extubation Assessment and Clinical Decision Support Information System. Risk Management and Healthcare Policy 2026;Volume 19:1 View
  5. Hu Z, Yu X, Liu X, Jiang T, Chen L. Prediction model for successful liberation from continuous renal replacement therapy in patients with acute kidney injury: development and temporal validation. Frontiers in Medicine 2026;13 View