AI model predicts endotracheal intubation timing in critically ill patients, suggesting improved prognostic outcomes.
Endotracheal intubation is used in critically ill patients to provide oxygen and apply mechanical ventilation, and identifying the exact timing of intubation plays a crucial role in the patient's prognosis. We developed an artificial intelligence-based model to predict the timing of intubation. We found that the predictive performance of our developed GRU-D++ model was the best among various models.
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Heo et al. (2025) studied this question.
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