Expectations of Intensive Care Physicians Regarding an AI-Based Decision Support System for Weaning From Continuous Renal Replacement Therapy: Predevelopment Survey Study
Our findings highlight an optimistic attitude among ICU physicians toward AI-based CDSS for CRRT weaning, emphasizing the need for transparency, integration into existing workflows, and alignment with clinicians' decision-making processes. Actionable recommendations include incorporating key variables such as urine output and biological parameters, defining probability thresholds for recommendations and ensuring model transparency to facilitate the successful adoption and integration into clinical practice. The methodology of this survey may help the development of further predevelopment studies accompanying AI-based CDSS projects.
Authors
- Sandie Cabon (ORCID: https://orcid.org/0000-0001-7847-0916)
- Benjamin Popoff (ORCID: https://orcid.org/0000-0003-2854-0909)
- Thomas Clavier (ORCID: https://orcid.org/0000-0001-8630-7537)
- Guillaume Bouzillé (ORCID: https://orcid.org/0000-0002-3637-6558)
- Marc Cuggia (ORCID: https://orcid.org/0000-0001-6943-3937)
Institutions
- Inserm (FR)
- Endothélium, valvulopathies et insuffisance cardiaque (FR)
- Normandie Université (FR)
- Centre Hospitalier Universitaire de Rouen (FR)
- Centre Hospitalier Universitaire de Rennes (FR)
- Université de Rennes (FR)
- Université de Rouen Normandie (FR)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-04-23
- DOI
- https://doi.org/10.2196/63709
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96
Funders
- Intensive Care Society
- Société de Réanimation de Langue Française