This prospective, randomized controlled trial aims to evaluate whether an AI-driven decision support system can improve clinical outcomes for mechanically ventilated pediatric patients (aged 1 month to 18 years) in the PICU, compared to standard care. The primary question addressed is: Do patients whose ventilator parameter optimization decisions are guided by AI assistance achieve a greater number of ventilator-free days within 28 days compared to those managed with standard care by medical staff? Eligible pediatric patients requiring mechanical ventilation following tracheal intubation will be randomly assigned (1:1) to either the AI-guided intervention group or the standard care control group. In the intervention group, physicians will receive real-time, AI-generated recommendations for ventilator parameters to inform clinical adjustments. In contrast, the control group will be managed according to standard clinical protocols. This study seeks to assess whether AI-driven ventilator optimization can effectively improve clinical outcomes and shorten ventilation duration for pediatric patients in the PICU.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Enrollment
200
In the AI-Guided Group, physicians will receive real-time, AI-generated recommendations for ventilator parameters to inform clinical adjustments.
Number of ventilator-free days within 28 days
Days survived and free from invasive ventilation
Time frame: From the start of tracheal intubation until 28 days after tracheal intubation.
Mechanical Ventilation-Related Complications
Cumulative duration of mechanical ventilation, reintubation rate (within 48 hours of extubation), ventilator-associated pneumonia (VAP), barotrauma.
Time frame: From the start of tracheal intubation to Day 28
Length of Hospital Stay
PICU Length of Stay, Total Hospital Length of Stay
Time frame: The duration from the time of admission to discharge for pediatric patients-up to a maximum of three months.
Artificial Intelligence System Evaluation
Rate of physician adoption of AI recommendations
Time frame: From the start of tracheal intubation to Day 28
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