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Pediatric Tracheostomy

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AI-Assisted Video Monitoring Revolutionizes Care for Tracheostomy-Dependent Infants: A Proof-of-Concept Evaluation

This study demonstrates promising accuracy of a patient-personalized AI system in detecting tracheostomy tube status and infant distress via video monitoring, highlighting potential for enhanced, continuous surveillance in high-risk infants

Oct 14, 2026
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Enhanced Risk Stratification for Pediatric Tracheostomy Hospitalizations: Evaluating a Novel Tracheostomy-Specific Tier System

A new tracheostomy-specific risk-tier system improves outcome prediction in pediatric tracheostomy hospitalizations compared with traditional severity metrics, offering better benchmarking for clinical care across institutions.

Sep 29, 2026

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