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Patrick Thoral

Showing results (1-10 of 23) with videos related to

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Intensive Care Medicine|June 13, 2023
Encouraging responsible intensive care data sharingPatrick Thoral, Paul Elbers
Gigabyte (Hong Kong, China)|February 24, 2023
Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementationTom Edinburgh, Stephen J Eglen, Patrick Thoral, et al.
Intensive Care Medicine|May 14, 2020
Machine learning in intensive care medicine: ready for take-off?Lucas M Fleuren, Patrick Thoral, Duncan Shillan, et al.
Intensive Care Medicine Experimental|March 13, 2024
The ESICM datathon and the ESICM and ICMx data science strategyPaul Elbers, Patrick Thoral, Lieuwe D J Bos, et al.
Journal of Intensive Medicine|April 17, 2025
Preparing for future pandemics: Automated intensive care electronic health record data extraction to accelerate clinical insightsLada Lijović, Harm Jan de Grooth, Patrick Thoral, et al.
Journal of Intensive Medicine|April 17, 2025
Large language models in critical careLaurens A Biesheuvel, Jessica D Workum, Merijn Reuland, et al.
Respiratory Medicine Case Reports|June 2, 2015
Pneumomediastinum and (bilateral) pneumothorax after high energy trauma: Indications for emergency bronchoscopyMartijn R Groenendijk, Koen J Hartemink, Chris Dickhoff, et al.
Artificial Intelligence in Medicine|February 14, 2021
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsisLuca Roggeveen, Ali El Hassouni, Jonas Ahrendt, et al.
Journal of Clinical Medicine|February 25, 2023
Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with SepsisRazvan Bologheanu, Lorenz Kapral, Daniel Laxar, et al.
Journal of Intensive Medicine|February 25, 2026
Causal deep learning to personalize medicine: Which intensive care patients with sepsis will benefit from corticosteroid therapy?Ameet Jagesar, Louk Smalbil, Etienne Galea, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Intensive Care Medicine|June 13, 2023
Encouraging responsible intensive care data sharingPatrick Thoral, Paul Elbers
Gigabyte (Hong Kong, China)|February 24, 2023
Sepsis-3 criteria in AmsterdamUMCdb: open-source code implementationTom Edinburgh, Stephen J Eglen, Patrick Thoral, et al.
Intensive Care Medicine|May 14, 2020
Machine learning in intensive care medicine: ready for take-off?Lucas M Fleuren, Patrick Thoral, Duncan Shillan, et al.
Intensive Care Medicine Experimental|March 13, 2024
The ESICM datathon and the ESICM and ICMx data science strategyPaul Elbers, Patrick Thoral, Lieuwe D J Bos, et al.
Journal of Intensive Medicine|April 17, 2025
Preparing for future pandemics: Automated intensive care electronic health record data extraction to accelerate clinical insightsLada Lijović, Harm Jan de Grooth, Patrick Thoral, et al.
Journal of Intensive Medicine|April 17, 2025
Large language models in critical careLaurens A Biesheuvel, Jessica D Workum, Merijn Reuland, et al.
Respiratory Medicine Case Reports|June 2, 2015
Pneumomediastinum and (bilateral) pneumothorax after high energy trauma: Indications for emergency bronchoscopyMartijn R Groenendijk, Koen J Hartemink, Chris Dickhoff, et al.
Artificial Intelligence in Medicine|February 14, 2021
Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsisLuca Roggeveen, Ali El Hassouni, Jonas Ahrendt, et al.
Journal of Clinical Medicine|February 25, 2023
Development of a Reinforcement Learning Algorithm to Optimize Corticosteroid Therapy in Critically Ill Patients with SepsisRazvan Bologheanu, Lorenz Kapral, Daniel Laxar, et al.
Journal of Intensive Medicine|February 25, 2026
Causal deep learning to personalize medicine: Which intensive care patients with sepsis will benefit from corticosteroid therapy?Ameet Jagesar, Louk Smalbil, Etienne Galea, et al.
Pageof 3