Collection

Artificial Intelligence in ICU

The application of artificial intelligence (AI) in medicine and critical care is predicted to revolutionize patient care and critical care in the very near future. The highly technological environment of an intensive care unit where large amounts of data are being generated and stored continuously and the diagnostic-therapeutic cycle is short, is, at least in theory, an ideal setting to develop and apply AI models. This makes it all the more remarkable that so few AI applications have made it to the bedside. This topical collection aims at describing the current state of AI in critical care, its potentially disrupting ethical implications, important methodological considerations, further illustrated with examples of existing and potential future applications in various areas of critical care.

Editors

  • 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.

  • 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)