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Systematic review finds machine learning algorithms varying in accuracy for predicting intubation in pneumonia patients, highlighting the need for standardization.
ML algorithms demonstrate a modest and highly variable accuracy in predicting the need for endotracheal intubation among pneumonia patients. High heterogeneity and methodological variability highlight the need for standardized ML approaches before clinical adoption.
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Abdoli et al. (2026) studied this question.
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