December 2025

Respiratory

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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Mechanical Ventilation

Automated mechanical ventilator design and analysis using neural network

Summary This study describes the design, simulation, and validation of an automated mechanical ventilator system using neural networks to optimize critical ventilation parameters. The ventilator specifically addresses clinical conditions such as pneumonia and chronic obstructive pulmonary disease (COPD). By employing feed-forward neural networks (FFNN) to regulate parameters like tidal volume, respiratory rate, and inspiration-to-expiration (I:E)

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