Health Trials

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

ConditionRespiratory Distress Syndrome (RDS)
Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-90
SponsorAssiut University

About this trial

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).

Eligibility criteria

Qualifiers

Adult patients (≥18 years) in ICUs at risk of respiratory failure.

Adults (≥18 years) receiving mechanical ventilation for >24 hours and deemed ready for weaning.

Disqualifiers

- Patients with a pre-existing "Do Not Intubate" (DNI) order.

- Patients with irreversible neurological conditions affecting weaning

Trial design

Treatments tested in this trial

  • Not listed

Trial groups

No trial groups listed

Locations

This trial has no locations

Sponsors and collaborators

Assiut University

Lead sponsor

Source ClinicalTrials.gov