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

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).

NCT Number	NCT07065838
Lead Sponsor	Assiut University
Conditions	Respiratory Distress Syndrome (RDS)
Enrollment	600 participants
Start Date	2025-10-01
Primary Completion	2027-11-01 (estimated)
Study Completion	2027-11-01 (estimated)
Updated on ClinicalTrials.gov	2025-07-15