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

Journal: JMIR medical informatics

PMID: 40267422

Abstract

BACKGROUND: Critically ill patients in intensive care units (ICUs) require continuous monitoring, generating vast amounts of data. Clinical decision support systems (CDSS) leveraging artificial intelligence (AI) technologies have shown promise in improving diagnostic, prognostic, and therapeutic decision-making. However, these models are rarely implemented in clinical practice.

Authors

Benjamin Popoff

Department of Anesthesiology, Critical Care and Perioperative Medicine, CHU Rouen, 37 Bd Gambetta, Rouen, 76000, France, 33 232888292.
Sandie Cabon
Marc Cuggia

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, F-35000 Rennes, France.
Guillaume Bouzille

Univ Rennes, CHU Rennes, Inserm, LTSI - UMR 1099, F-35000 Rennes, France.
Thomas Clavier

Department of Anesthesiology, Critical Care and Perioperative Medicine, CHU Rouen, 37 Bd Gambetta, Rouen, 76000, France, 33 232888292.

Keywords

Adult Artificial Intelligence Attitude of Health Personnel Continuous Renal Replacement Therapy Critical Care Cross-Sectional Studies Decision Support Systems, Clinical Female Humans Intensive Care Units Male Middle Aged Physicians Prospective Studies Surveys and Questionnaires

External Resources

View on PubMed Access via DOI PubMed (40267422)

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

Abstract

Authors

Keywords

External Resources

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