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1
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
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The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care

Nature medicine, 2018-11, Vol.24 (11), p.1716-1720 [Peer Reviewed Journal]

Copyright Nature Publishing Group Nov 2018 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-018-0213-5 ;PMID: 30349085

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2
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies
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Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies

BMJ (Online), 2020-03, Vol.368, p.m689-m689 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2020 BMJ ;ISSN: 1756-1833 ;ISSN: 0959-8138 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.m689 ;PMID: 32213531

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3
The effect of vasopressin and hydrocortisone on cytokine trajectories
The effect of vasopressin and hydrocortisone on cytokine trajectories
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The effect of vasopressin and hydrocortisone on cytokine trajectories

Intensive care medicine, 2023-02, Vol.49 (2), p.241-243 [Peer Reviewed Journal]

The Author(s) 2023 ;COPYRIGHT 2023 Springer ;The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0342-4642 ;EISSN: 1432-1238 ;DOI: 10.1007/s00134-022-06905-9 ;PMID: 36629879

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4
Association between tocilizumab, sarilumab and all-cause mortality at 28 days in hospitalised patients with COVID-19: A network meta-analysis
Association between tocilizumab, sarilumab and all-cause mortality at 28 days in hospitalised patients with COVID-19: A network meta-analysis
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Association between tocilizumab, sarilumab and all-cause mortality at 28 days in hospitalised patients with COVID-19: A network meta-analysis

PloS one, 2022-07, Vol.17 (7), p.e0270668-e0270668 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Godolphin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 Godolphin et al 2022 Godolphin et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0270668 ;PMID: 35802687

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5
Global outbreak research: harmony not hegemony
Global outbreak research: harmony not hegemony
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Global outbreak research: harmony not hegemony

The Lancet infectious diseases, 2020-07, Vol.20 (7), p.770-772 [Peer Reviewed Journal]

2020 Elsevier Ltd ;2020. Elsevier Ltd ;Distributed under a Creative Commons Attribution 4.0 International License ;2020 Elsevier Ltd. All rights reserved. 2020 Elsevier Ltd ;ISSN: 1473-3099 ;EISSN: 1474-4457 ;DOI: 10.1016/S1473-3099(20)30440-0 ;PMID: 32502433

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6
Evidence for a protective role for the rs805305 single nucleotide polymorphism of dimethylarginine dimethylaminohydrolase 2 (DDAH2) in septic shock through the regulation of DDAH activity
Evidence for a protective role for the rs805305 single nucleotide polymorphism of dimethylarginine dimethylaminohydrolase 2 (DDAH2) in septic shock through the regulation of DDAH activity
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Evidence for a protective role for the rs805305 single nucleotide polymorphism of dimethylarginine dimethylaminohydrolase 2 (DDAH2) in septic shock through the regulation of DDAH activity

Critical care (London, England), 2018-12, Vol.22 (1), p.336-336, Article 336 [Peer Reviewed Journal]

COPYRIGHT 2018 BioMed Central Ltd. ;The Author(s). 2018 ;ISSN: 1364-8535 ;EISSN: 1466-609X ;DOI: 10.1186/s13054-018-2277-5 ;PMID: 30538005

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7
The effects of vasopressin on acute kidney injury in septic shock
The effects of vasopressin on acute kidney injury in septic shock
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The effects of vasopressin on acute kidney injury in septic shock

Intensive care medicine, 2010-01, Vol.36 (1), p.83-91 [Peer Reviewed Journal]

Copyright jointly hold by Springer and ESICM 2009 ;2015 INIST-CNRS ;COPYRIGHT 2010 Springer ;Copyright jointly hold by Springer and ESICM 2010 ;ISSN: 0342-4642 ;EISSN: 1432-1238 ;DOI: 10.1007/s00134-009-1687-x ;PMID: 19841897 ;CODEN: ICMED9

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8
Clinician and patient perspectives on the barriers and facilitators to physical rehabilitation in intensive care: a qualitative interview study
Clinician and patient perspectives on the barriers and facilitators to physical rehabilitation in intensive care: a qualitative interview study
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Clinician and patient perspectives on the barriers and facilitators to physical rehabilitation in intensive care: a qualitative interview study

BMJ open, 2023-11, Vol.13 (11), p.e073061-e073061 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. ;2023 Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. 2023 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2023-073061 ;PMID: 37940149

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9
The Cardiopulmonary Effects of Vasopressin Compared With Norepinephrine in Septic Shock
The Cardiopulmonary Effects of Vasopressin Compared With Norepinephrine in Septic Shock
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The Cardiopulmonary Effects of Vasopressin Compared With Norepinephrine in Septic Shock

Chest, 2012-09, Vol.142 (3), p.593-605 [Peer Reviewed Journal]

The American College of Chest Physicians ;2015 INIST-CNRS ;ISSN: 0012-3692 ;EISSN: 1931-3543 ;DOI: 10.1378/chest.11-2604 ;PMID: 22518026 ;CODEN: CHETBF

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10
Low Serum Mannose-Binding Lectin Level Increases the Risk of Death due to Pneumococcal Infection
Low Serum Mannose-Binding Lectin Level Increases the Risk of Death due to Pneumococcal Infection
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Low Serum Mannose-Binding Lectin Level Increases the Risk of Death due to Pneumococcal Infection

Clinical Infectious Diseases, 2008-08, Vol.47 (4), p.510-516 [Peer Reviewed Journal]

Copyright 2008 Infectious Diseases Society of America ;2008 by the Infectious Diseases Society of America 2008 ;Copyright University of Chicago, acting through its Press Aug 15, 2008 ;2008. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://academic.oup.com/journals/pages/coronavirus . ;ISSN: 1058-4838 ;ISSN: 1537-6591 ;EISSN: 1537-6591 ;DOI: 10.1086/590006 ;PMID: 18611155

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11
Quantifying the impact of AI recommendations with explanations on prescription decision making
Quantifying the impact of AI recommendations with explanations on prescription decision making
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Quantifying the impact of AI recommendations with explanations on prescription decision making

NPJ digital medicine, 2023-11, Vol.6 (1), p.206-206, Article 206 [Peer Reviewed Journal]

The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2398-6352 ;EISSN: 2398-6352 ;DOI: 10.1038/s41746-023-00955-z

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12
Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment
Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment
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Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment

BMJ health & care informatics, 2022-07, Vol.29 (1), p.e100549 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. ;2022 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. 2022 ;ISSN: 2632-1009 ;EISSN: 2632-1009 ;DOI: 10.1136/bmjhci-2022-100549 ;PMID: 35851286

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13
Toll-like Receptor 1 Polymorphisms Affect Innate Immune Responses and Outcomes in Sepsis
Toll-like Receptor 1 Polymorphisms Affect Innate Immune Responses and Outcomes in Sepsis
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Toll-like Receptor 1 Polymorphisms Affect Innate Immune Responses and Outcomes in Sepsis

American journal of respiratory and critical care medicine, 2008-10, Vol.178 (7), p.710-720 [Peer Reviewed Journal]

2008 INIST-CNRS ;Copyright American Thoracic Society Oct 1, 2008 ;Copyright © 2008, American Thoracic Society ;ISSN: 1073-449X ;EISSN: 1535-4970 ;DOI: 10.1164/rccm.200803-462OC ;PMID: 18635889

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14
Alpha 2 agonists for sedation to produce better outcomes from critical illness (A2B Trial): protocol for a multicentre phase 3 pragmatic clinical and cost-effectiveness randomised trial in the UK
Alpha 2 agonists for sedation to produce better outcomes from critical illness (A2B Trial): protocol for a multicentre phase 3 pragmatic clinical and cost-effectiveness randomised trial in the UK
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Alpha 2 agonists for sedation to produce better outcomes from critical illness (A2B Trial): protocol for a multicentre phase 3 pragmatic clinical and cost-effectiveness randomised trial in the UK

BMJ open, 2023-12, Vol.13 (12), p.e078645-e078645 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. ;2023 Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ. 2023 ;ISSN: 2044-6055 ;EISSN: 2044-6055 ;DOI: 10.1136/bmjopen-2023-078645 ;PMID: 38072483

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15
Can Machine Learning Personalize Cardiovascular Therapy in Sepsis?
Can Machine Learning Personalize Cardiovascular Therapy in Sepsis?
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Can Machine Learning Personalize Cardiovascular Therapy in Sepsis?

Critical care explorations, 2024-05, Vol.6 (5), p.e1087-e1087 [Peer Reviewed Journal]

Copyright © 2024 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. ;Copyright © 2024 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. 2024 ;EISSN: 2639-8028 ;DOI: 10.1097/CCE.0000000000001087 ;PMID: 38709088

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16
Metabolic Profiling in Patients with Pneumonia on Intensive Care
Metabolic Profiling in Patients with Pneumonia on Intensive Care
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Metabolic Profiling in Patients with Pneumonia on Intensive Care

EBioMedicine, 2017-04, Vol.18 (C), p.244-253 [Peer Reviewed Journal]

2017 The Authors ;Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved. ;2017 The Authors 2017 ;ISSN: 2352-3964 ;EISSN: 2352-3964 ;DOI: 10.1016/j.ebiom.2017.03.034 ;PMID: 28373096

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17
A Novel Role for Cytochrome P450 Epoxygenase Metabolites in Septic Shock
A Novel Role for Cytochrome P450 Epoxygenase Metabolites in Septic Shock
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A Novel Role for Cytochrome P450 Epoxygenase Metabolites in Septic Shock

Critical care explorations, 2022-01, Vol.4 (1), p.e0622-e0622 [Peer Reviewed Journal]

Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. ;Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. 2022 ;ISSN: 2639-8028 ;EISSN: 2639-8028 ;DOI: 10.1097/CCE.0000000000000622 ;PMID: 35083437

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18
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies in medical imaging
Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies in medical imaging
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Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies in medical imaging

BMJ (Online), 2020-03, Vol.368, p.1-14 [Peer Reviewed Journal]

Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2020 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. BMJ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0959-8138 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.m689

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19
Validating a prediction tool to determine the risk of nosocomial multidrug-resistant Gram-negative bacilli infection in critically ill patients: A retrospective case–control study
Validating a prediction tool to determine the risk of nosocomial multidrug-resistant Gram-negative bacilli infection in critically ill patients: A retrospective case–control study
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Validating a prediction tool to determine the risk of nosocomial multidrug-resistant Gram-negative bacilli infection in critically ill patients: A retrospective case–control study

Journal of global antimicrobial resistance., 2020-09, Vol.22, p.826-831 [Peer Reviewed Journal]

2020 The Authors ;Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved. ;ISSN: 2213-7165 ;EISSN: 2213-7173 ;DOI: 10.1016/j.jgar.2020.07.010 ;PMID: 32712381

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20
Methodological challenges in European ethics approvals for a genetic epidemiology study in critically ill patients: the GenOSept experience
Methodological challenges in European ethics approvals for a genetic epidemiology study in critically ill patients: the GenOSept experience
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Methodological challenges in European ethics approvals for a genetic epidemiology study in critically ill patients: the GenOSept experience

BMC medical ethics, 2019-05, Vol.20 (1), p.30-30, Article 30 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;COPYRIGHT 2019 BioMed Central Ltd. ;2019. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s). 2019 ;ISSN: 1472-6939 ;EISSN: 1472-6939 ;DOI: 10.1186/s12910-019-0370-1 ;PMID: 31064358

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