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Anthony C Gordon

Showing results (21-30 of 151) with videos related to

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Ebiomedicine|April 5, 2017
Metabolic Profiling in Patients with Pneumonia on Intensive CareDavid Antcliffe, Beatriz Jiménez, Kirill Veselkov, et al.
BMC Medical Research Methodology|February 22, 2025
Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case studyEleanor Van Vogt, Anthony C Gordon, Karla Diaz-Ordaz, et al.
Critical Care (London, England)|December 13, 2018
Evidence for a protective role for the rs805305 single nucleotide polymorphism of dimethylarginine dimethylaminohydrolase 2 (DDAH2) in septic shock through the regulation of DDAH activitySimon Lambden, James Tomlinson, Sophie Piper, et al.
PLOS Digital Health|February 24, 2025
Safety of human-AI cooperative decision-making within intensive care: A physical simulation studyPaul Festor, Myura Nagendran, Anthony C Gordon, et al.
NPJ Digital Medicine|November 7, 2023
Quantifying the impact of AI recommendations with explanations on prescription decision makingMyura Nagendran, Paul Festor, Matthieu Komorowski, et al.
NPJ Digital Medicine|August 2, 2024
Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendationsMyura Nagendran, Paul Festor, Matthieu Komorowski, et al.
Chest|April 21, 2012
The cardiopulmonary effects of vasopressin compared with norepinephrine in septic shockAnthony C Gordon, Nan Wang, Keith R Walley, et al.
Nature Medicine|October 24, 2018
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive careMatthieu Komorowski, Leo A Celi, Omar Badawi, et al.
BMJ Open|September 12, 2024
Multinational trends in sepsis mortality between 1985 and 2019: a temporal analysis of the WHO Mortality DatabaseMatthieu Komorowski, Justin D Salciccioli, Joseph Shalhoub, et al.
BMJ Open|August 31, 2018
Are large randomised controlled trials in severe sepsis and septic shock statistically disadvantaged by repeated inadvertent underestimates of required sample size?Joshua L C Wong, Alexina J Mason, Anthony C Gordon, et al.
Pageof 16

Showing results (21-30 of 151) with videos related to

Sort By:
Pageof 16
Ebiomedicine|April 5, 2017
Metabolic Profiling in Patients with Pneumonia on Intensive CareDavid Antcliffe, Beatriz Jiménez, Kirill Veselkov, et al.
BMC Medical Research Methodology|February 22, 2025
Application of causal forests to randomised controlled trial data to identify heterogeneous treatment effects: a case studyEleanor Van Vogt, Anthony C Gordon, Karla Diaz-Ordaz, et al.
Critical Care (London, England)|December 13, 2018
Evidence for a protective role for the rs805305 single nucleotide polymorphism of dimethylarginine dimethylaminohydrolase 2 (DDAH2) in septic shock through the regulation of DDAH activitySimon Lambden, James Tomlinson, Sophie Piper, et al.
PLOS Digital Health|February 24, 2025
Safety of human-AI cooperative decision-making within intensive care: A physical simulation studyPaul Festor, Myura Nagendran, Anthony C Gordon, et al.
NPJ Digital Medicine|November 7, 2023
Quantifying the impact of AI recommendations with explanations on prescription decision makingMyura Nagendran, Paul Festor, Matthieu Komorowski, et al.
NPJ Digital Medicine|August 2, 2024
Eye tracking insights into physician behaviour with safe and unsafe explainable AI recommendationsMyura Nagendran, Paul Festor, Matthieu Komorowski, et al.
Chest|April 21, 2012
The cardiopulmonary effects of vasopressin compared with norepinephrine in septic shockAnthony C Gordon, Nan Wang, Keith R Walley, et al.
Nature Medicine|October 24, 2018
The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive careMatthieu Komorowski, Leo A Celi, Omar Badawi, et al.
BMJ Open|September 12, 2024
Multinational trends in sepsis mortality between 1985 and 2019: a temporal analysis of the WHO Mortality DatabaseMatthieu Komorowski, Justin D Salciccioli, Joseph Shalhoub, et al.
BMJ Open|August 31, 2018
Are large randomised controlled trials in severe sepsis and septic shock statistically disadvantaged by repeated inadvertent underestimates of required sample size?Joshua L C Wong, Alexina J Mason, Anthony C Gordon, et al.
Pageof 16