Ventilator-Associated Pneumonia Prediction Models Based on AI: Scoping Review
Jinbo Zhang,
Pingping Yang,
Lu Zeng
et al.
Abstract:Background
Ventilator-associated pneumonia (VAP) is a serious complication of mechanical ventilation therapy that affects patients’ treatments and prognoses. Owing to its excellent data mining capabilities, artificial intelligence (AI) has been increasingly used to predict VAP.
Objective
This paper reviews VAP prediction models that are based on AI, providing a reference for the early identification of high-risk groups in future clinical practice.
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