Collection
Artificial Intelligence in ICU
- Submission status
- Open
- Open for submission from
- 23 May 2024
- Submission deadline
- Ongoing
Editors
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Christian Jung
Christian Jung works as professor for interventional cardiology and cardiovascular critical care medicine and Head of the medical ICUs at the Heinrich-Heine-University in Duesseldorf, Germany. He covers a number of ICU topics including cardiogenic shock, microcirculation, the role of comorbidities, frailty and the specifics of treating old patients. The application of innovative methods such as machine learning or the use of virtual reality and wearables is an integrative part of the strategy of his interprofessional research team.
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Geert Meyfroidt
Geert Meyfroidt works as professor at the Faculty of Medicine and is Head of Clinic, Department of Intensive Care Medicine, in Leuven, Belgium. He is a specialist in Anesthesiology and in Intensive Care Medicine. He is a board member of the KULeuven, Industrial Research Fund (IOF), has been Chair of the Neuro-Intensive Care Section of the European Society of Intensive Care Medicine in 2019-2022, and President of the Belgian Society of Intensive Care Medicine in 2019-2021.
Articles (7 in this collection)
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Why federated learning will do little to overcome the deeply embedded biases in clinical medicine
Authors
- Christopher Martin Sauer
- Gernot Pucher
- Leo Anthony Celi
- Content type: Correspondence
- Open Access
- Published: 03 June 2024
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Artificial intelligence as a further step in the detection of dyspnea in the critically ill mechanically ventilated patient
Authors (first, second and last of 5)
- Lluis Blanch
- Verónica Santos-Pulpón
- Candelaria de Haro
- Content type: Correspondence
- Published: 02 May 2024
- Pages: 1015 - 1016
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Federated data access and federated learning: improved data sharing, AI model development, and learning in intensive care
Authors
- Michel E. van Genderen
- Maurizio Cecconi
- Christian Jung
- Content type: What's New in Intensive Care
- Open Access
- Published: 18 April 2024
- Pages: 974 - 977
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Prediction of post-traumatic stress disorder in family members of ICU patients: a machine learning approach
Authors (first, second and last of 5)
- Thibault Dupont
- Nancy Kentish-Barnes
- Elie Azoulay
- Content type: Original
- Published: 19 December 2023
- Pages: 114 - 124
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ECMO PAL: using deep neural networks for survival prediction in venoarterial extracorporeal membrane oxygenation
Authors (first, second and last of 11)
- Andrew F. Stephens
- Michael Å eman
- the Extracorporeal Life Support Organization Member Centres
- Content type: Original
- Open Access
- Published: 07 August 2023
- Pages: 1090 - 1099
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Machine learning to predict poor school performance in paediatric survivors of intensive care: a population-based cohort study
Authors (first, second and last of 10)
- Patricia Gilholm
- Kristen Gibbons
- the Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcomes & Resource Evaluation (CORE) and ANZICS Paediatric Study Group (ANZICS PSG)
- Content type: Original
- Open Access
- Published: 24 June 2023
- Pages: 785 - 795