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The Timing of Early Antibiotics and Hospital Mortality in Sepsis

American journal of respiratory and critical care medicine, 2017-10, Vol.196 (7), p.856-863

2017

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The future of AI in critical care is augmented, not artificial, intelligence

Critical care (London, England), 2020-12, Vol.24 (1), p.673-673, Article 673

Liu, Vincent X

2020

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Toward Smarter Lumping and Smarter Splitting: Rethinking Strategies for Sepsis and Acute Respiratory Distress Syndrome Clinical Trial Design

American journal of respiratory and critical care medicine, 2016-07, Vol.194 (2), p.147-155

2016

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Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study

BMJ (Online), 2020-05, Vol.369, p.m1923

2020

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COVID-19 bacteremic co-infection is a major risk factor for mortality, ICU admission, and mechanical ventilation

Critical care (London, England), 2023-01, Vol.27 (1), p.34-12, Article 34

2023

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From Containment to Mitigation of COVID-19 in the US

JAMA : the journal of the American Medical Association, 2020-04, Vol.323 (15), p.1441

2020

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Characteristics of Hospitalized Adults With COVID-19 in an Integrated Health Care System in California

JAMA : the journal of the American Medical Association, 2020-06, Vol.323 (21), p.2195

2020

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Development and validation of a machine learning model using electronic health records to predict trauma- and stressor-related psychiatric disorders after hospitalization with sepsis

Translational psychiatry, 2023-12, Vol.13 (1), p.400-400, Article 400

2023

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Prospective evaluation of social risks, physical function, and cognitive function in prediction of non-elective rehospitalization and post-discharge mortality

BMC health services research, 2022-04, Vol.22 (1), p.574-574, Article 574

2022

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Do no harm: a roadmap for responsible machine learning for health care

Nature medicine, 2019-09, Vol.25 (9), p.1337-1340

2019

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Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration

The New England journal of medicine, 2020-11, Vol.383 (20), p.1951-1960

2020

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Assessing the clinical impact of CYP2C9 pharmacogenetic variation on phenytoin prescribing practice and patient response in an integrated health system

Pharmacogenetics and genomics, 2019-10, Vol.29 (8), p.192

2019

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16 Years and Counting? Time to Implement Noninvasive Screening for ARDS

Chest, 2016-08, Vol.150 (2), p.266-267

2016

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Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

JAMA : the journal of the American Medical Association, 2016-02, Vol.315 (8), p.762

2016

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Developing a New Definition and Assessing New Clinical Criteria for Septic Shock: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

JAMA : the journal of the American Medical Association, 2016-02, Vol.315 (8), p.775

2016

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Associations of CYP2C9 and CYP2C19 Pharmacogenetic Variation with Phenytoin‐Induced Cutaneous Adverse Drug Reactions

Clinical and translational science, 2020-09, Vol.13 (5), p.1004-1009

2020

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Toward the “Plateau of Productivity”: Enhancing the Value of Machine Learning in Critical Care

Critical care medicine, 2018-07, Vol.46 (7), p.1196-1197

Liu, Vincent X

2018

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COVID-19 and Long-term Planning for Procedure-based Specialties During Extended Mitigation and Suppression Strategies

Gastroenterology (New York, N.Y. 1943), 2021-01, Vol.160 (1), p.4-9

2021

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Use of Sepsis Clinical Prediction Models to Improve Patient Care

JAMA internal medicine, 2023-06, Vol.183 (6), p.612

2023

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Racial Disparities in COVID-19 Testing and Outcomes : Retrospective Cohort Study in an Integrated Health System

Annals of internal medicine, 2021-06, Vol.174 (6), p.786

2021

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Goldilocks, the Three Bears and Intensive Care Unit Utilization: Delivering Enough Intensive Care But Not Too Much. A Narrative Review

Pulmonary therapy, 2020-06, Vol.6 (1), p.23-33

2020

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Enhanced Recovery After Surgery Program Implementation in 2 Surgical Populations in an Integrated Health Care Delivery System

JAMA surgery, 2017-07, Vol.152 (7), p.e171032

2017

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‘No growth to date’? Predicting positive blood cultures in critical illness

Intensive care medicine, 2020-03, Vol.46 (3), p.525-527

2020

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Reply to Fillmore et al.: Additional evidence of non–SARS-CoV-2 coronavirus cross-immunity

Proceedings of the National Academy of Sciences - PNAS, 2022-11, Vol.119 (46), p.1-e2215620119

2022

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Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR

NPJ digital medicine, 2022-04, Vol.5 (1), p.44-44, Article 44

2022

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The Timing of Early Antibiotics and Hospital Mortality in Sepsis

The future of AI in critical care is augmented, not artificial, intelligence

Toward Smarter Lumping and Smarter Splitting: Rethinking Strategies for Sepsis and Acute Respiratory Distress Syndrome Clinical Trial Design

Incidence, clinical outcomes, and transmission dynamics of severe coronavirus disease 2019 in California and Washington: prospective cohort study

COVID-19 bacteremic co-infection is a major risk factor for mortality, ICU admission, and mechanical ventilation

From Containment to Mitigation of COVID-19 in the US

Characteristics of Hospitalized Adults With COVID-19 in an Integrated Health Care System in California

Development and validation of a machine learning model using electronic health records to predict trauma- and stressor-related psychiatric disorders after hospitalization with sepsis

Prospective evaluation of social risks, physical function, and cognitive function in prediction of non-elective rehospitalization and post-discharge mortality

Do no harm: a roadmap for responsible machine learning for health care

Automated Identification of Adults at Risk for In-Hospital Clinical Deterioration

Assessing the clinical impact of CYP2C9 pharmacogenetic variation on phenytoin prescribing practice and patient response in an integrated health system

16 Years and Counting? Time to Implement Noninvasive Screening for ARDS

Assessment of Clinical Criteria for Sepsis: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

Developing a New Definition and Assessing New Clinical Criteria for Septic Shock: For the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)

Associations of CYP2C9 and CYP2C19 Pharmacogenetic Variation with Phenytoin‐Induced Cutaneous Adverse Drug Reactions

Toward the “Plateau of Productivity”: Enhancing the Value of Machine Learning in Critical Care

COVID-19 and Long-term Planning for Procedure-based Specialties During Extended Mitigation and Suppression Strategies

Use of Sepsis Clinical Prediction Models to Improve Patient Care

Racial Disparities in COVID-19 Testing and Outcomes : Retrospective Cohort Study in an Integrated Health System

Goldilocks, the Three Bears and Intensive Care Unit Utilization: Delivering Enough Intensive Care But Not Too Much. A Narrative Review

Enhanced Recovery After Surgery Program Implementation in 2 Surgical Populations in an Integrated Health Care Delivery System

‘No growth to date’? Predicting positive blood cultures in critical illness

Reply to Fillmore et al.: Additional evidence of non–SARS-CoV-2 coronavirus cross-immunity

Developing a shared sepsis data infrastructure: a systematic review and concept map to FHIR

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