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Making sense of early high-dose intravenous vitamin C in ischemia/reperfusion injury

Critical care (London, England), 2018-03, Vol.22 (1), p.70-70, Article 70

2018

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Machine learning in intensive care medicine: ready for take-off?

Intensive care medicine, 2020-07, Vol.46 (7), p.1486-1488

2020

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Renal resistive index as an early predictor and discriminator of acute kidney injury in critically ill patients; A prospective observational cohort study

PloS one, 2018-06, Vol.13 (6), p.e0197967-e0197967

2018

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Application of the Sepsis-3 criteria to describe sepsis epidemiology in the Amsterdam UMCdb intensive care dataset

PloS one, 2024-06, Vol.19 (6), p.e0304133

2024

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Right dose, right now: bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock—a two-centre randomised clinical trial

Critical care (London, England), 2022-09, Vol.26 (1), p.1-265, Article 265

2022

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Why physiology will continue to guide the choice between balanced crystalloids and normal saline: a systematic review and meta-analysis

Critical care (London, England), 2019-11, Vol.23 (1), p.366-13, Article 366

2019

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Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

Intensive care medicine, 2020-03, Vol.46 (3), p.383-400

2020

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Lung ultrasound in a tertiary intensive care unit population: a diagnostic accuracy study

Critical care (London, England), 2021-09, Vol.25 (1), p.339-339, Article 339

2021

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Clinically relevant pharmacokinetic knowledge on antibiotic dosing among intensive care professionals is insufficient: a cross-sectional study

Critical care (London, England), 2019-05, Vol.23 (1), p.185-9, Article 185

2019

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Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example

Critical care medicine, 2021-06, Vol.49 (6), p.e563-e577

2021

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Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority trial

Trials, 2019-12, Vol.20 (1), p.745-13, Article 745

2019

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Response to "Adjuvant vitamin C in cardiac arrest patients undergoing renal replacement therapy: an appeal for a higher high-dose"

Critical care (London, England), 2018-12, Vol.22 (1), p.350-350, Article 350

2018

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Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation

Intensive care medicine experimental, 2024-03, Vol.12 (1), p.32-32, Article 32

2024

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Artificial intelligence in telemetry: what clinicians should know

Intensive care medicine, 2021-02, Vol.47 (2), p.150-153

2021

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Early high-dose vitamin C in post-cardiac arrest syndrome (VITaCCA): study protocol for a randomized, double-blind, multi-center, placebo-controlled trial

Trials, 2021-08, Vol.22 (1), p.546-546, Article 546

2021

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Towards adequate and automated antibiotic dosing

Intensive care medicine, 2023-07, Vol.49 (7), p.853-856

2023

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Vitamin C for Sepsis and Acute Respiratory Failure

JAMA : the journal of the American Medical Association, 2020-02, Vol.323 (8), p.792

2020

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Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit

Intensive care medicine, 2021-11, Vol.47 (11), p.1327-1328

2021

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Rapid automatic assessment of microvascular density in sidestream dark field images

Medical & biological engineering & computing, 2011-11, Vol.49 (11), p.1269-1278

2011

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External Evaluation of Population Pharmacokinetic Models of Vancomycin in Large Cohorts of Intensive Care Unit Patients

Antimicrobial agents and chemotherapy, 2019-05, Vol.63 (5)

2019

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Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set

Critical care (London, England), 2022-08, Vol.26 (1), p.236-13

2022

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Rapid screening of critically ill patients for low plasma vitamin C concentrations using a point-of-care oxidation–reduction potential measurement

Intensive care medicine experimental, 2021-08, Vol.9 (1), p.40-40, Article 40

2021

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Ventilator-derived carbon dioxide production to assess energy expenditure in critically ill patients: proof of concept

Critical care (London, England), 2015-10, Vol.19 (1), p.370-370, Article 370

2015

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Optimizing Predictive Performance of Bayesian Forecasting for Vancomycin Concentration in Intensive Care Patients

Pharmaceutical research, 2020-09, Vol.37 (9), p.171-171, Article 171

2020

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Lung point in the absence of pneumothorax

Intensive care medicine, 2018-08, Vol.44 (8), p.1329-1330

2018

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Making sense of early high-dose intravenous vitamin C in ischemia/reperfusion injury

Machine learning in intensive care medicine: ready for take-off?

Renal resistive index as an early predictor and discriminator of acute kidney injury in critically ill patients; A prospective observational cohort study

Application of the Sepsis-3 criteria to describe sepsis epidemiology in the Amsterdam UMCdb intensive care dataset

Right dose, right now: bedside, real-time, data-driven, and personalised antibiotic dosing in critically ill patients with sepsis or septic shock—a two-centre randomised clinical trial

Why physiology will continue to guide the choice between balanced crystalloids and normal saline: a systematic review and meta-analysis

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

Lung ultrasound in a tertiary intensive care unit population: a diagnostic accuracy study

Clinically relevant pharmacokinetic knowledge on antibiotic dosing among intensive care professionals is insufficient: a cross-sectional study

Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example

Right Dose Right Now: bedside data-driven personalized antibiotic dosing in severe sepsis and septic shock - rationale and design of a multicenter randomized controlled superiority trial

Response to "Adjuvant vitamin C in cardiac arrest patients undergoing renal replacement therapy: an appeal for a higher high-dose"

Reinforcement learning for intensive care medicine: actionable clinical insights from novel approaches to reward shaping and off-policy model evaluation

Artificial intelligence in telemetry: what clinicians should know

Early high-dose vitamin C in post-cardiac arrest syndrome (VITaCCA): study protocol for a randomized, double-blind, multi-center, placebo-controlled trial

Towards adequate and automated antibiotic dosing

Vitamin C for Sepsis and Acute Respiratory Failure

Behavioural artificial intelligence technology for COVID-19 intensivist triage decisions: making the implicit explicit

Rapid automatic assessment of microvascular density in sidestream dark field images

External Evaluation of Population Pharmacokinetic Models of Vancomycin in Large Cohorts of Intensive Care Unit Patients

Co-infection and ICU-acquired infection in COIVD-19 ICU patients: a secondary analysis of the UNITE-COVID data set

Rapid screening of critically ill patients for low plasma vitamin C concentrations using a point-of-care oxidation–reduction potential measurement

Ventilator-derived carbon dioxide production to assess energy expenditure in critically ill patients: proof of concept

Optimizing Predictive Performance of Bayesian Forecasting for Vancomycin Concentration in Intensive Care Patients

Lung point in the absence of pneumothorax

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