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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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COVID-19 Vaccination and the Timing of Surgery Following COVID-19 Infection

Annals of surgery, 2022-11, Vol.276 (5), p.e265-e272

2022

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The Geographic Puzzle of Sepsis Recovery: Patterns in U.S. Rural and Urban Sepsis Survivors

Critical care medicine, 2024-11, Vol.52 (11), p.1804-1806

2024

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

NPJ digital medicine, 2022-04, Vol.5 (1), p.44-8, Article 44

2022

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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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Hospital Strain and Variation in Sepsis ICU Admission Practices and Associated Outcomes

Critical care explorations, 2023-02, Vol.5 (2), p.e0858-e0858

2023

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Development and Validation of an Obstetric Comorbidity Risk Score for Clinical Use

Women's health reports (New Rochelle, N.Y.), 2021-11, Vol.2 (1), p.57-515

2021

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Predictive Modeling Using Artificial Intelligence and Machine Learning Algorithms on Electronic Health Record Data: Advantages and Challenges

Critical care clinics, 2023-10, Vol.39 (4), p.647

2023

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The Presentation, Pace, and Profile of Infection and Sepsis Patients Hospitalized Through the Emergency Department: An Exploratory Analysis

Critical care explorations, 2021-03, Vol.3 (3), p.e0344-e0344

2021

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Prognostic Accuracy of Presepsis and Intrasepsis Characteristics for Prediction of Cardiovascular Events After a Sepsis Hospitalization

Critical care explorations, 2022-04, Vol.4 (4), p.e0674-e0674

2022

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Algorithmic prognostication in critical care: a promising but unproven technology for supporting difficult decisions

Current opinion in critical care, 2021-10, Vol.27 (5), p.500-505

2021

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Risk of severe COVID-19 infection among adults with prior exposure to children

Proceedings of the National Academy of Sciences - PNAS, 2022-08, Vol.119 (33), p.1-e2204141119

2022

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Risk of Infection in Older Adults With Type 2 Diabetes With Relaxed Glycemic Control

Diabetes care, 2024-10

2024

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Validation of Administrative Definitions of Invasive Mechanical Ventilation across 30 Intensive Care Units

American journal of respiratory and critical care medicine, 2016-12, Vol.194 (12), p.1548-1552

2016

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Unsupervised probabilistic models for sequential Electronic Health Records

Journal of biomedical informatics, 2022-10, Vol.134, p.104163-104163, Article 104163

2022

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Automated CT Analysis of Body Composition as a Frailty Biomarker in Abdominal Surgery

JAMA surgery, 2024-07, Vol.159 (7), p.766

2024

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Adults hospitalized with breakthrough COVID‐19 have lower mortality than matched unvaccinated adults

Journal of internal medicine, 2022-08, Vol.292 (2), p.377-384

2022

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ICU Staffing in the United States

Chest, 2024-10, Vol.166 (4), p.743-753

2024

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To do no harm — and the most good — with AI in health care

Nature medicine, 2024-03, Vol.30 (3), p.623-627

2024

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Loud and Clear: Sensory Impairment, Delirium, and Functional Recovery in Critical Illness

American journal of respiratory and critical care medicine, 2016-08, Vol.194 (3), p.252-253

2016

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Evaluation of an intervention targeted with predictive analytics to prevent readmissions in an integrated health system: observational study

BMJ (Online), 2021-08, p.n1747

2021

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Nonstationary multivariate Gaussian processes for electronic health records

Journal of biomedical informatics, 2021-05, Vol.117 (na), p.103698-103698, Article 103698

2021

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Correction to “Predicting preventable hospital readmissions with causal machine learning”

Health services research, 2021-02, Vol.56 (1), p.168-168

2021

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

COVID-19 Vaccination and the Timing of Surgery Following COVID-19 Infection

The Geographic Puzzle of Sepsis Recovery: Patterns in U.S. Rural and Urban Sepsis Survivors

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

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

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

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

Hospital Strain and Variation in Sepsis ICU Admission Practices and Associated Outcomes

Development and Validation of an Obstetric Comorbidity Risk Score for Clinical Use

Predictive Modeling Using Artificial Intelligence and Machine Learning Algorithms on Electronic Health Record Data: Advantages and Challenges

The Presentation, Pace, and Profile of Infection and Sepsis Patients Hospitalized Through the Emergency Department: An Exploratory Analysis

Prognostic Accuracy of Presepsis and Intrasepsis Characteristics for Prediction of Cardiovascular Events After a Sepsis Hospitalization

Algorithmic prognostication in critical care: a promising but unproven technology for supporting difficult decisions

Risk of severe COVID-19 infection among adults with prior exposure to children

Risk of Infection in Older Adults With Type 2 Diabetes With Relaxed Glycemic Control

Validation of Administrative Definitions of Invasive Mechanical Ventilation across 30 Intensive Care Units

Unsupervised probabilistic models for sequential Electronic Health Records

Automated CT Analysis of Body Composition as a Frailty Biomarker in Abdominal Surgery

Adults hospitalized with breakthrough COVID‐19 have lower mortality than matched unvaccinated adults

ICU Staffing in the United States

To do no harm — and the most good — with AI in health care

Loud and Clear: Sensory Impairment, Delirium, and Functional Recovery in Critical Illness

Evaluation of an intervention targeted with predictive analytics to prevent readmissions in an integrated health system: observational study

Nonstationary multivariate Gaussian processes for electronic health records

Correction to “Predicting preventable hospital readmissions with causal machine learning”

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