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Using Artificial Intelligence Models for Predicting The Need for Intubation and Successful Weaning From Mechanical Ventilation in ICU Patients

NCT07065838 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 600

Last updated 2025-07-15

No results posted yet for this study

Summary

Using artificial intelligence (AI) approach to build a model to determine the optimal timing of intubation and optimal timing of weaning from MV for ICU patients, and compare outcomes with these which depend on clinicians dicision.

And also assess whether AI-assisted decisions improve patient outcomes (e.g., reduced intubation delays, shorter ventilation duration).

Conditions

  • Respiratory Distress Syndrome (RDS)

Sponsors & Collaborators

  • Assiut University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-10-01
Primary Completion
2027-11-01
Completion
2027-11-01

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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 NCT07065838 on ClinicalTrials.gov