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

Decision Support for Health Professionals (1495) Human Factors and Usability Case Studies (972) Computer-Aided Diagnosis (235) Machine Learning (2012) Clinical Information and Decision Making (1849) Intensive Care Unit (ICU) (155) Nephrology/Renal Disorders (93)

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 (1) Tweetations Metrics

Benjamin Popoff   1, 2 , MD, MSc ;   Sandie Cabon   2 , PhD ;   Marc Cuggia   2 , MD, PhD ;   Guillaume Bouzillé   2 , MD, PhD ;   Thomas Clavier   1, 3 , MD, PhD

1 Department of Anesthesiology, Critical Care and Perioperative Medicine, CHU Rouen, Rouen, France

2 Univ Rennes, CHU Rennes, INSERM, LTSI-UMR 1099, Rennes, France

3 Normandie Univ, UNIROUEN, INSERM U1096, Rouen, France

Corresponding Author: