Skip to main content
Top

02-05-2024 | Artificial Intelligence | Correspondence

Artificial intelligence as a further step in the detection of dyspnea in the critically ill mechanically ventilated patient

Authors: Lluis Blanch, Verónica Santos-Pulpón, Oriol Roca, Leonardo Sarlabous, Candelaria de Haro

Published in: Intensive Care Medicine

Login to get access

Excerpt

We commend the authors of the statement on dyspnea in acutely ill mechanically ventilated adult patients endorsed by the European Respiratory Society (ERS) and the European Society of Intensive Care Medicine (ESICM) [1]. This excellent article expounds the societies’ position regarding this important subject reached through combining a comprehensive evidence-based approach with multidisciplinary clinical expertise. Detecting dyspnea and identifying its cause are essential to avoid complications in critically ill patients. The authors point out that dyspnea often goes unnoticed and underline the importance of clinical observation, measuring P0.1, and querying patients with digital analog scales. …
Literature
Metadata
Title
Artificial intelligence as a further step in the detection of dyspnea in the critically ill mechanically ventilated patient
Authors
Lluis Blanch
Verónica Santos-Pulpón
Oriol Roca
Leonardo Sarlabous
Candelaria de Haro
Publication date
02-05-2024
Publisher
Springer Berlin Heidelberg
Published in
Intensive Care Medicine
Print ISSN: 0342-4642
Electronic ISSN: 1432-1238
DOI
https://doi.org/10.1007/s00134-024-07420-9