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Matthieu Komorowski

Showing results (21-30 of 71) with videos related to

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The Lancet. Digital Health|August 25, 2020
Sharing patient-level real-time COVID-19 dataMatthieu Komorowski, Moritz U G Kraemer, John S Brownstein
Critical Care Medicine|August 12, 2024
Machine Learning Tools for Acute Respiratory Distress Syndrome Detection and PredictionFrancesca Rubulotta, Sahar Bahrami, Dominic C Marshall, et al.
Anesthesiology|May 3, 2021
On the Challenges of Anesthesia and Surgery during Interplanetary SpaceflightMatthieu Komorowski, Séamus Thierry, Clément Stark, et al.
BMJ Health & Care Informatics|March 23, 2021
COVID-19: are the elderly prepared for virtual healthcare?Ahmed Ezzat, Harpreet Sood, Josephine Holt, et al.
Aviation, Space, and Environmental Medicine|March 22, 2013
Potential anesthesia protocols for space exploration missionsMatthieu Komorowski, Sharmila D Watkins, Gilles Lebuffe, et al.
Intensive Care Medicine|May 31, 2023
How could ChatGPT impact my practice as an intensivist? An overview of potential applications, risks and limitationsMatthieu Komorowski, Maria Del Pilar Arias López, Anthony C Chang
Frontiers in Medicine|June 23, 2023
Editorial: Clinical teaching and practice in intensive care medicine and anesthesiologyPan Pan, Matthieu Komorowski, Le Shen, et al.
Ebiomedicine|December 5, 2022
Sepsis biomarkers and diagnostic tools with a focus on machine learningMatthieu Komorowski, Ashleigh Green, Kate C Tatham, 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.
Pageof 8

Showing results (21-30 of 71) with videos related to

Sort By:
Pageof 8
The Lancet. Digital Health|August 25, 2020
Sharing patient-level real-time COVID-19 dataMatthieu Komorowski, Moritz U G Kraemer, John S Brownstein
Critical Care Medicine|August 12, 2024
Machine Learning Tools for Acute Respiratory Distress Syndrome Detection and PredictionFrancesca Rubulotta, Sahar Bahrami, Dominic C Marshall, et al.
Anesthesiology|May 3, 2021
On the Challenges of Anesthesia and Surgery during Interplanetary SpaceflightMatthieu Komorowski, Séamus Thierry, Clément Stark, et al.
BMJ Health & Care Informatics|March 23, 2021
COVID-19: are the elderly prepared for virtual healthcare?Ahmed Ezzat, Harpreet Sood, Josephine Holt, et al.
Aviation, Space, and Environmental Medicine|March 22, 2013
Potential anesthesia protocols for space exploration missionsMatthieu Komorowski, Sharmila D Watkins, Gilles Lebuffe, et al.
Intensive Care Medicine|May 31, 2023
How could ChatGPT impact my practice as an intensivist? An overview of potential applications, risks and limitationsMatthieu Komorowski, Maria Del Pilar Arias López, Anthony C Chang
Frontiers in Medicine|June 23, 2023
Editorial: Clinical teaching and practice in intensive care medicine and anesthesiologyPan Pan, Matthieu Komorowski, Le Shen, et al.
Ebiomedicine|December 5, 2022
Sepsis biomarkers and diagnostic tools with a focus on machine learningMatthieu Komorowski, Ashleigh Green, Kate C Tatham, 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.
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