AI-Guided Mechanical Ventilation in Children: A Randomized Controlled Trial

Starting soon · Not applicable

Conditions studied: Acute Respiratory Distress Syndrome, Pneumonia in Children, Respiratory Failure (Pediatric Patients), Congenital Heart Disease in Children

In brief

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.

Key facts

Study ID
NCT07728136
Run by
Wu Rongzhou
People needed
200
Starts
2026-09-01
Expected to finish
2027-12-31
Last updated by the study team
2026-07-27

Who can join

Age: 0 and older, up to 18. Sex: any. Healthy volunteers: accepted.

You may qualify if…

You may not qualify if…

Full record on ClinicalTrials.gov

Trial information comes from ClinicalTrials.gov and is refreshed daily. TrialsForMe does not provide medical care and does not run the studies it lists.