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Using Artificial Intelligence To Improve Ventilator Settings For Intensive Care Patients

NCT07592039 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 2000

Last updated 2026-05-18

No results posted yet for this study

Summary

This observational study aims to determine whether an AI-assisted 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 provided by medical staff. 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 than those managed by medical staff? By utilizing clinical data collected following tracheal intubation to generate AI-driven recommendations-and comparing these against the actual adjustments made by physicians-this study seeks to assess whether the AI-assisted decision support system can effectively improve clinical outcomes for mechanically ventilated patients in the PICU.

Conditions

  • Acute Respiratory Distress Syndrome
  • Pneumonia in Children
  • Respiratory Failure (Pediatric Patients)

Sponsors & Collaborators

  • Wu Rongzhou

    lead OTHER

Eligibility

Min Age
1 Month
Max Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-01
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07592039 on ClinicalTrials.gov