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Clinical management of sepsis can be improved by artificial intelligence: yes

Intensive care medicine, 2020-02, Vol.46 (2), p.375-377

Komorowski, Matthieu

2020

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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

2018

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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

2020

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Artificial intelligence in intensive care: are we there yet?

Intensive care medicine, 2019-09, Vol.45 (9), p.1298-1300

Komorowski, Matthieu

2019

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Air travel and COVID-19 prevention in the pandemic and peri-pandemic period: A narrative review

Travel medicine and infectious disease, 2021-01, Vol.39, p.101915-101915, Article 101915

2021

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Anesthesia and Surgery in Space: Reply

Anesthesiology (Philadelphia), 2022-02, Vol.136 (2), p.400-400

Komorowski, Matthieu

2022

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Trends in mortality from pneumonia in the Europe union: a temporal analysis of the European detailed mortality database between 2001 and 2014

Respiratory research, 2018-05, Vol.19 (1), p.81-81, Article 81

2018

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Improving counterfactual reasoning with kernelised dynamic mixing models

PloS one, 2018-11, Vol.13 (11), p.e0205839-e0205839

2018

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Fundamentals of anesthesiology for spaceflight

Journal of cardiothoracic and vascular anesthesia, 2016-06, Vol.30 (3), p.781-790

2016

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Sixty Years of Manned Spaceflight—Incidents and Accidents Involving Astronauts between Launch and Landing

Aerospace, 2022-11, Vol.9 (11), p.675

2022

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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

2023

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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

2022

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Editorial: Clinical teaching and practice in intensive care medicine and anesthesiology

Frontiers in medicine, 2023-06, Vol.10, p.1207363-1207363

2023

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Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations

NPJ digital medicine, 2024-08, Vol.7 (1), p.202-10, Article 202

2024

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Early Intensive Physical Rehabilitation Combined with a Protocolized Decannulation Process in Tracheostomized Survivors from Severe COVID-19 Pneumonia with Chronic Critical Illness

Journal of clinical medicine, 2022-07, Vol.11 (13), p.3921

2022

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COVID-19: are the elderly prepared for virtual healthcare?

BMJ health & care informatics, 2021-03, Vol.28 (1), p.e100334

2021

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Cardiopulmonary resuscitation (CPR) during spaceflight - a guideline for CPR in microgravity from the German Society of Aerospace Medicine (DGLRM) and the European Society of Aerospace Medicine Space Medicine Group (ESAM-SMG)

Scandinavian journal of trauma, resuscitation and emergency medicine, 2020-11, Vol.28 (1), p.108-108, Article 108

2020

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Evaluation of free-floating tracheal intubation in weightlessness via ice-pick position with a direct laryngoscopy and classic approach with indirect videolaryngoscopy

NPJ microgravity, 2023-09, Vol.9 (1), p.73-73, Article 73

2023

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A locally optimised machine learning approach to early prognostication of long-term neurological outcomes after out-of-hospital cardiac arrest

Digital health, 2024-01, Vol.10, p.20552076241234746-20552076241234746

2024

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Can Machine Learning Personalize Cardiovascular Therapy in Sepsis?

Critical care explorations, 2024-05, Vol.6 (5), p.e1087-e1087

2024

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Guidelines for reinforcement learning in healthcare

Nature medicine, 2019-01, Vol.25 (1), p.16-18

2019

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Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Frontiers in big data, 2020-11, Vol.3, p.577974-577974

2020

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Informing future intensive care trials with machine learning

British journal of anaesthesia : BJA, 2019-07, Vol.123 (1), p.14-16

2019

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Randomized Comparison of Two New Methods for Chest Compressions during CPR in Microgravity-A Manikin Study

Journal of clinical medicine, 2022-01, Vol.11 (3), p.646

2022

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Will Artificial Intelligence Contribute to Overuse in Healthcare?

Critical care medicine, 2017-05, Vol.45 (5), p.912-913

2017

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Clinical management of sepsis can be improved by artificial intelligence: yes

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

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

Artificial intelligence in intensive care: are we there yet?

Air travel and COVID-19 prevention in the pandemic and peri-pandemic period: A narrative review

Anesthesia and Surgery in Space: Reply

Trends in mortality from pneumonia in the Europe union: a temporal analysis of the European detailed mortality database between 2001 and 2014

Improving counterfactual reasoning with kernelised dynamic mixing models

Fundamentals of anesthesiology for spaceflight

Sixty Years of Manned Spaceflight—Incidents and Accidents Involving Astronauts between Launch and Landing

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

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

Editorial: Clinical teaching and practice in intensive care medicine and anesthesiology

Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendations

Early Intensive Physical Rehabilitation Combined with a Protocolized Decannulation Process in Tracheostomized Survivors from Severe COVID-19 Pneumonia with Chronic Critical Illness

COVID-19: are the elderly prepared for virtual healthcare?

Cardiopulmonary resuscitation (CPR) during spaceflight - a guideline for CPR in microgravity from the German Society of Aerospace Medicine (DGLRM) and the European Society of Aerospace Medicine Space Medicine Group (ESAM-SMG)

Evaluation of free-floating tracheal intubation in weightlessness via ice-pick position with a direct laryngoscopy and classic approach with indirect videolaryngoscopy

A locally optimised machine learning approach to early prognostication of long-term neurological outcomes after out-of-hospital cardiac arrest

Can Machine Learning Personalize Cardiovascular Therapy in Sepsis?

Guidelines for reinforcement learning in healthcare

Interdisciplinary Research in Artificial Intelligence: Challenges and Opportunities

Informing future intensive care trials with machine learning

Randomized Comparison of Two New Methods for Chest Compressions during CPR in Microgravity-A Manikin Study

Will Artificial Intelligence Contribute to Overuse in Healthcare?

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