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Theodora Wingert

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Associate Professor of Clinical Anesthesiology

University of California, Los Angeles

United States

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Predicting Pediatric Postoperative Complications using Waveform and Electronic Health Record Data

Open Date: 2026-01-01

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Collaborators (3)

Lynnie Correll

BC Children's Hospital

CANADA

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John Sneyd

University of Plymouth

UNITED KINGDOM

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Olaf Mercier

Searcher

INSERM

FRANCE

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Theodora Wingert

Research Interests

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Recent Grants

Articles (20)

From measurement to improvement: use of the Well-Being Influencers Survey for Healthcare to guide a departmental well-being strategy in anaesthesiology

Preoperative Cannabis Use and Postoperative Delirium in Older Adults Undergoing Major Noncardiac Surgery

Intraoperative Hypotension and Delayed Graft Function after Kidney Transplantation: A Retrospective Cohort Analysis

1697: MACHINE LEARNING TO PREDICT EXTUBATION FAILURE ACROSS DIVERSE HOSPITAL SETTINGS

A Multi-Department Investigation of Occupational Well-Being, Systemic Features, and Organizational Outcomes in Anesthesiology Using the Well-Being Influencers Survey for Healthcare (WISH)

Association between right ventricular systolic pressure and adverse outcomes following gastrointestinal endoscopy: a retrospective cohort study

Associations of Intraoperative Hypotension and Vasopressor Administration With Postoperative Acute Kidney Injury in Children Undergoing Liver Transplantation: A Retrospective Cohort Study

Associations of Intraoperative Hypotension and Vasopressor Administration With Postoperative Acute Kidney Injury in Children Undergoing Liver Transplantation: A Retrospective Cohort Study—Response to Letter to the Editor

Automated Detection of Airway Events in Diverse Hospital Settings: Development and Validation of a Scalable System

Automating eligibility assessment and enrollment for sugammadex administration within an integrated perioperative workflow

From Cuffs to Code: Machine Learning in Non-Invasive Blood Pressure Monitoring

General anaesthesia versus monitored anaesthesia care and postoperative outcome in patients with elevated right ventricular systolic pressure undergoing low-risk surgical procedures: a retrospective single-centre cohort study

Intraoperative Cardiac Events During Pediatric Cardiac Magnetic Resonance Imaging Under Anesthesia: A Retrospective Cohort Study

Large Language Models vs. Machine Learning on Structured Perioperative Data: Does Model Choice Matter?

Monitored anaesthesia care versus general anaesthesia for endoscopic upper gastrointestinal ultrasonography: a retrospective cohort study

Pain Scores and Opioid Consumption after Robotic-assisted Abdominal Surgery: A Single Centre Historical Cohort Study

Prospective validation and real-time implementation of an automated machine learning postoperative mortality prediction model

Prospective validation and real-time implementation of an automated machine learning postoperative mortality prediction model. Response to Br J Anaesth 2026; 137: 369–70

Rethinking remimazolam: reconciling regulatory positioning with clinical reality

Artificial Intelligence in Anesthesiology: Comment

Collaborators (3)

Lynnie Correll

John Sneyd

Olaf Mercier

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