Michael Burns

University of Michigan

United States

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Articles (12)

Year:

2025

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2025

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2023

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2023

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2022

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2021

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2021

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2020

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2020

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2020

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2020

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2020

Collaborators (14)

Jonathan Wanderer

Associate Professor of Anesthesiology and Biomedical Informatics

Vanderbilt University Medical Center

UNITED STATES

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Samir Kendale

Beth Israel Deaconess Medical Center

UNITED STATES

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Parisa Rashidi

Associate Professor

University of Florida

UNITED STATES

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Leif Saager

University of Michigan Medical School

UNITED STATES

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Patrick Tighe

Associate Professor

University of Florida

UNITED STATES

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V.G.Vinod Vydiswaran

Associate Professor

University of Michigan

UNITED STATES

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Hannah Lonsdale

UNITED STATES

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Brian Love

University of Michigan

UNITED STATES

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Nicholas Douville

Assistant Professor

University of Michigan

UNITED STATES

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Matthew Corriere

University of Michigan Medical School

UNITED STATES

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EMILY MACKAY

Assistant Professor of Anesthesiology

University of Pennsylvania

UNITED STATES

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Robert Dick

University of Michigan

UNITED STATES

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Michael Mathis

University of Michigan

UNITED STATES

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Richard Epstein

Professor

University of Miami Miller School of Medicine

UNITED STATES

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Michael Burns

Research Interests

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Articles (12)

Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council

Strengthening Discovery and Application of Artificial Intelligence in Anesthesiology: A Report from the Anesthesia Research Council

Machine Learning for the Prediction of Procedural Case Durations Developed Using a Large Multicenter Database: Algorithm Development and Validation Study

Development and Testing of a Data Capture Device for Use With Clinical Incentive Spirometers: Testing and Usability Study

Epidural Needle Guidance Using Viscoelastic Tissue Response

Re‐evaluating expanding intravenous catheters in medical practice

Neural Machine Translation–Based Automated Current Procedural Terminology Classification System Using Procedure Text: Development and Validation Study

Early Detection of Heart Failure With Reduced Ejection Fraction Using Perioperative Data Among Noncardiac Surgical Patients: A Machine-Learning Approach.

Considerations for Integration of Perioperative Electronic Health Records Across Institutions for Research and Quality Improvement: The Approach Taken by the Multicenter Perioperative Outcomes Group.

Machine Learning Comes of Age: Local Impact versus National Generalizability.

Realistically Integrating Machine Learning Into Clinical Practice: A Road Map of Opportunities, Challenges, and a Potential Future.

Classification of Current Procedural Terminology Codes from Electronic Health Record Data Using Machine Learning.

Collaborators (14)

Jonathan Wanderer

Samir Kendale

Parisa Rashidi

Leif Saager

Patrick Tighe

V.G.Vinod Vydiswaran

Hannah Lonsdale

Brian Love

Nicholas Douville

Matthew Corriere

EMILY MACKAY

Robert Dick

Michael Mathis

Richard Epstein

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