Can we predict the future of respiratory failure prediction?
Summary This article examines current methods of predicting respiratory failure, emphasizing existing scoring systems, biomarkers, and their limitations. It introduces machine learning (ML) as a promising alternative for predicting acute respiratory failure and reviews key challenges to integrating ML into clinical practice. The authors advocate for rigorous validation, thoughtful trial design, and clinician collaboration to […]
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