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

This document is a comment on an article endorsed by the European Respiratory Society and the European Society of Intensive Care Medicine regarding the detection of dyspnea in critically ill mechanically ventilated patients. The authors commend the comprehensive and evidence-based approach of the article, which emphasizes the importance of detecting dyspnea and identifying its cause. They also highlight the potential role of artificial intelligence (AI) in managing dyspnea, particularly in analyzing large volumes of data to recognize patterns and diagnoses. The authors suggest that AI can help minimize unrecognized periods of abnormal patient-ventilator interactions and advance precision medicine in critically ill patients. [Extracted from the article]

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