From risk factors to prediction: Artificial intelligence as the next frontier in preventing CRRT interruption

Madeo, Mattia; Fresilli, Stefano; Caroleo, Zaninni; Garofalo, Eugenio; Bruni, Andrea

doi:10.1016/j.medine.2026.502527

Medicina Intensiva (English Edition)

ISSN: 2173-5727

Medicina Intensiva is the journal of the Spanish Society of Intensive and Critical Care Medicine and Coronary Units (SEMICYUC), and has become the reference publication in Spanish in its field. Medicina Intensiva mainly publishes Original Articles, Reviews, Clinical Notes, Images in Intensive Medicine, and Information relevant to the specialty. All works go through a rigorous selection process.

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Vol. 50. Issue 10.

(October 2026)

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Madeo M, Fresilli S, Caroleo Z, Garofalo E, Bruni A. From risk factors to prediction: Artificial intelligence as the next frontier in preventing CRRT interruption. Med Intensiva. 2026;50:

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From risk factors to prediction: Artificial intelligence as the next frontier in preventing CRRT interruption

De los factores de riesgo a la predicción: la inteligencia artificial como la próxima frontera en la prevención de la interrupción de la CRRT

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Mattia Madeoa,

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mattia.madeo@studenti.unipr.it

Corresponding author.

, Stefano Fresillib, Zaninni Caroleoc, Eugenio Garofalod, Andrea Brunie

a Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy

b Department of Anesthesia and Intensive Care, IRCCS San Raffaele Scientific Institute, Milan, Italy

c Intensive Care and Anesthesiology, Annunziata Hospital, Cosenza, Italy

d Intensive Care Unit, Department of Medical and Surgical Sciences, University Hospital Mater Domini, Magna Graecia University, Catanzaro, Italy

e Department of Pharmacy and Health and Nutrition Sciences, University of Calabria, Arcavacata di Rende, Italy

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Risk prediction model for unplanned weaning during continuous renal replacement therapy: a cross-sectional study.

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From risk factors to prediction: Artificial intelligence as the next frontier in preventing CRRT interruption

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