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

Decision Support for Health Professionals (1530) Human Factors and Usability Case Studies (1000) Computer-Aided Diagnosis (248) Machine Learning (2065) Clinical Information and Decision Making (1906) Intensive Care Unit (ICU) (160) Nephrology/Renal Disorders (99)

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

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 (2) 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 2025:100030 View