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Automatic Recognition and Classification of Patient–Ventilator Asynchrony Using Deep Learning with Generative Adversarial Networks

2025-11-27

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose:</bold> Patient–ventilator asynchrony (PVA) is frequent in mechanically ventilated patients and is associated with poor outcomes. Automated recognition has the potential to improve clinical care, but existing methods are limited by data scarcity and class imbalance. We aimed to develop and validate a deep learning model enhanced by synthetic data generation to improve t...

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Literature Corpus work
69f5b8a4-7afc-5c50-b639-381941ebfaa4
DOI
10.21203/rs.3.rs-8145560/v1
Open publication

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Automatic Recognition and Classification of Patient–Ventilator Asynchrony Using Deep Learning with Generative Adversarial NetworksDOI 10.21203/rs.3.rs-8145560/v1
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