Last Updated: 09/26/2026
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Found 53 publications
Preoperative Fluid Fasting in the Context of the Safe Brain Initiative - A Model for Patient-centered Precision Care in Anaesthesiology
Journal: Anasthesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS
Published: August 10, 2026
Perioperative Neurocognitive Safety - From Evidence-based Delirium Guidelines to Clinical Implementation, Using the Safe Brain Initiative as an Example
Journal: Anasthesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS
Published: August 10, 2026
Responsibility cannot be abdicated: rigour, proportionate evidence, and full electroencephalography-informed care in perioperative brain health. Response to Br J Anaesth 2026; 137: 269-70.
Journal: British journal of anaesthesia
Published: May 25, 2026
The age of therapeutic disruption how future anaesthesiologists will judge our current peri-operative practice: A specialty call for courage and change.
Journal: European journal of anaesthesiology
Published: May 12, 2026
Venous Pulsation Artifact and BIS-CVP Waveform Mimicry in Cardiac Surgery.
Journal: Journal of cardiothoracic and vascular anesthesia
Published: March 03, 2026
A Multimodal Quality Improvement Approach to Reduce Sevoflurane Consumption and Greenhouse Gas Emissions in an Academic Health System.
Journal: Cureus
Published: January 13, 2026
Responsibility cannot be abdicated: a mandate for Patient-Centred Precision Care in perioperative brain health.
Journal: British journal of anaesthesia
Published: December 29, 2025
Impact of Shorter Preoperative Fluid Fasting on Patient Outcomes: A Safe Brain Initiative Retrospective Cohort Analysis.
Journal: Anesthesia and analgesia
Published: November 24, 2025
Cardiac surgery-associated acute kidney injury in a single healthcare system: a retrospective observational study.
Journal: Critical care science
Published: October 03, 2025
Artificial intelligence for the prediction of postoperative complications in the critically ill.
Journal: Critical care science
Published: January 23, 2025
Machine Learning Models for the Early Real-Time Prediction of Deterioration in Intensive Care Units-A Novel Approach to the Early Identification of High-Risk Patients.
Journal: Journal of clinical medicine
Published: October 18, 2024
Last Updated: 09/26/2026