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Geert Meyfroidt

Showing results (71-80 of 172) with videos related to

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Journal of Critical Care|September 25, 2020
Data-driven ICU management: Using Big Data and algorithms to improve outcomesGiorgia Carra, Jorge I F Salluh, Fernando José da Silva Ramos, et al.
Current Opinion in Clinical Nutrition and Metabolic Care|January 12, 2012
The impact of premorbid diabetic status on the relationship between the three domains of glycemic control and mortality in critically ill patientsJames S Krinsley, Geert Meyfroidt, Greet van den Berghe, et al.
Intensive Care Medicine|March 4, 2011
Impact of a computer-generated alert system on the quality of tight glycemic controlGeert Meyfroidt, Pieter Wouters, Wilfried De Becker, et al.
Journal of Neurosurgical Anesthesiology|February 15, 2021
Intensive Care Admission and Management of Patients With Acute Ischemic Stroke: A Cross-sectional Survey of the European Society of Intensive Care MedicineChiara Robba, Martina Giovannini, Geert Meyfroidt, et al.
Diagnostic Microbiology and Infectious Disease|July 20, 2019
Predictive value of JC virus PCR in cerebrospinal fluid in the diagnosis of PMLBart Swinnen, Veroniek Saegeman, Kurt Beuselinck, et al.
Journal of Neurotrauma|August 11, 2022
Development and External Validation of a Machine Learning Model for the Early Prediction of Doses of Harmful Intracranial Pressure in Patients with Severe Traumatic Brain InjuryGiorgia Carra, Fabian Güiza, Ian Piper, et al.
Neurosurgery|June 11, 2024
The Pressure Reactivity Index as a Measure for Cerebrovascular Autoregulation: Validation in a Porcine Cranial Window ModelSamuel P Klein, Brecht Decraene, Veerle De Sloovere, et al.
Critical Care Explorations|March 14, 2020
Near-Infrared-Based Cerebral Oximetry for Prediction of Severe Acute Kidney Injury in Critically Ill Children After Cardiac SurgeryMarine Flechet, Fabian Güiza, Isabelle Scharlaeken, et al.
Critical Care (London, England)|August 18, 2019
Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictorMarine Flechet, Stefano Falini, Claudia Bonetti, et al.
Intensive Care Medicine|February 12, 2019
Management of the brain-dead donor in the ICU: general and specific therapy to improve transplantable organ qualityGeert Meyfroidt, Jan Gunst, Ignacio Martin-Loeches, et al.
Pageof 18

Showing results (71-80 of 172) with videos related to

Sort By:
Pageof 18
Journal of Critical Care|September 25, 2020
Data-driven ICU management: Using Big Data and algorithms to improve outcomesGiorgia Carra, Jorge I F Salluh, Fernando José da Silva Ramos, et al.
Current Opinion in Clinical Nutrition and Metabolic Care|January 12, 2012
The impact of premorbid diabetic status on the relationship between the three domains of glycemic control and mortality in critically ill patientsJames S Krinsley, Geert Meyfroidt, Greet van den Berghe, et al.
Intensive Care Medicine|March 4, 2011
Impact of a computer-generated alert system on the quality of tight glycemic controlGeert Meyfroidt, Pieter Wouters, Wilfried De Becker, et al.
Journal of Neurosurgical Anesthesiology|February 15, 2021
Intensive Care Admission and Management of Patients With Acute Ischemic Stroke: A Cross-sectional Survey of the European Society of Intensive Care MedicineChiara Robba, Martina Giovannini, Geert Meyfroidt, et al.
Diagnostic Microbiology and Infectious Disease|July 20, 2019
Predictive value of JC virus PCR in cerebrospinal fluid in the diagnosis of PMLBart Swinnen, Veroniek Saegeman, Kurt Beuselinck, et al.
Journal of Neurotrauma|August 11, 2022
Development and External Validation of a Machine Learning Model for the Early Prediction of Doses of Harmful Intracranial Pressure in Patients with Severe Traumatic Brain InjuryGiorgia Carra, Fabian Güiza, Ian Piper, et al.
Neurosurgery|June 11, 2024
The Pressure Reactivity Index as a Measure for Cerebrovascular Autoregulation: Validation in a Porcine Cranial Window ModelSamuel P Klein, Brecht Decraene, Veerle De Sloovere, et al.
Critical Care Explorations|March 14, 2020
Near-Infrared-Based Cerebral Oximetry for Prediction of Severe Acute Kidney Injury in Critically Ill Children After Cardiac SurgeryMarine Flechet, Fabian Güiza, Isabelle Scharlaeken, et al.
Critical Care (London, England)|August 18, 2019
Machine learning versus physicians' prediction of acute kidney injury in critically ill adults: a prospective evaluation of the AKIpredictorMarine Flechet, Stefano Falini, Claudia Bonetti, et al.
Intensive Care Medicine|February 12, 2019
Management of the brain-dead donor in the ICU: general and specific therapy to improve transplantable organ qualityGeert Meyfroidt, Jan Gunst, Ignacio Martin-Loeches, et al.
Pageof 18