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Guideline Implementation Is Improving Trauma Care in the Wild, Wild West

JAMA surgery, 2024-04, Vol.159 (4), p.372

2024

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Artificial Intelligence in Surgery: The American College of Surgeons and the Future of the Profession

Journal of the American College of Surgeons, 2022-07, Vol.235 (1), p.146-147

2022

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Intercostal nerve cryoablation during surgical stabilization of rib fractures

The journal of trauma and acute care surgery, 2021-12, Vol.91 (6), p.976

2021

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Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach

Critical care medicine, 2017-10, Vol.45 (10), p.1607-1615

2017

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Mastering the thousand tiny details: routine use of video to optimize performance in sport and in surgery

ANZ journal of surgery, 2021-10, Vol.91 (10), p.1981-1986

2021

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Using ICU Congestion as a Natural Experiment

Critical care medicine, 2016-10, Vol.44 (10), p.1936-1937

2016

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To Cut is to Cure: The Surgeonʼs Role in Improving Value

Annals of surgery, 2018-05, Vol.267 (5), p.817-819

2018

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Déjà Vu: Introducing Operations Research to Health Care

Medical decision making, 2017-11, Vol.37 (8), p.847-848

2017

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The Association of ICU Acuity With Outcomes of Patients at Low Risk of Dying

Critical care medicine, 2018-03, Vol.46 (3), p.347-353

2018

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Setting Assessment Standards for Artificial Intelligence Computer Vision Wound Annotations

JAMA network open, 2021-05, Vol.4 (5), p.e217851-e217851

2021

Volltextzugriff (PDF)

Deep Convolutional Neural Networks as a Diagnostic Aid-A Step Toward Minimizing Undetected Scaphoid Fractures on Initial Hand Radiographs

JAMA network open, 2021-05, Vol.4 (5), p.e216393-e216393

2021

Volltextzugriff (PDF)

Detecting organisational innovations leading to improved ICU outcomes: a protocol for a double-blinded national positive deviance study of critical care delivery

BMJ open, 2017-06, Vol.7 (6), p.e015930-e015930

2017

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Performance improvement in surgery

Current problems in surgery, 2019-06, Vol.56 (6), p.204-208

2019

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Performance improvement in surgery

Current problems in surgery, 2019-06, Vol.56 (6), p.211-246

2019

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Priority queuing models for hospital intensive care units and impacts to severe case patients

AMIA ... Annual Symposium proceedings, 2013, Vol.2013, p.841-850

2013

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Identifying Distinct Subgroups of Intensive Care Unit Patients: a Machine Learning Approach

Critical care medicine, 2017-10, Vol.45 (10), p.1607-1615

2017

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The Association of ICU with Outcomes of Patients at Low Risk of Dying

Critical care medicine, 2018-03, Vol.46 (3), p.347-353

2018

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Sepsis through the eyes of an engineer -- why treatments have succeeded and failed

Critical reviews in biomedical engineering, 2012, Vol.40 (4), p.353

2012

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Racial disparities in inpatient palliative care consultation among frail older patients undergoing high-risk elective surgical procedures in the United States: a cross-sectional study of the national inpatient sample

Health affairs scholar, 2023-08, Vol.1 (2), p.qxad026-qxad026

2023

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Guideline Implementation Is Improving Trauma Care in the Wild, Wild West

Artificial Intelligence in Surgery: The American College of Surgeons and the Future of the Profession

Intercostal nerve cryoablation during surgical stabilization of rib fractures

Identifying Distinct Subgroups of ICU Patients: A Machine Learning Approach

Mastering the thousand tiny details: routine use of video to optimize performance in sport and in surgery

Using ICU Congestion as a Natural Experiment

To Cut is to Cure: The Surgeonʼs Role in Improving Value

Professionalism of Admitting and Consulting Services and Trauma Patient Outcomes

Déjà Vu: Introducing Operations Research to Health Care

The Association of ICU Acuity With Outcomes of Patients at Low Risk of Dying

Setting Assessment Standards for Artificial Intelligence Computer Vision Wound Annotations

Deep Convolutional Neural Networks as a Diagnostic Aid-A Step Toward Minimizing Undetected Scaphoid Fractures on Initial Hand Radiographs

Detecting organisational innovations leading to improved ICU outcomes: a protocol for a double-blinded national positive deviance study of critical care delivery

Performance improvement in surgery

Performance improvement in surgery

Priority queuing models for hospital intensive care units and impacts to severe case patients

Identifying Distinct Subgroups of Intensive Care Unit Patients: a Machine Learning Approach

The Association of ICU with Outcomes of Patients at Low Risk of Dying

Sepsis through the eyes of an engineer -- why treatments have succeeded and failed

Racial disparities in inpatient palliative care consultation among frail older patients undergoing high-risk elective surgical procedures in the United States: a cross-sectional study of the national inpatient sample

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