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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/63709, first published .
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

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

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