Combining Chest X-Ray and Arterial Blood Gas Findings to Predict Need for Mechanical Ventilation in Critically Ill Patients

This prospective cross-sectional study aims to develop and validate a machine learning model that combines chest X-ray findings with arterial blood gas (ABG) analysis to assess the necessity for mechanical ventilation in critically ill adult patients. Conducted at Zagazig University Hospitals, the study seeks to improve clinical decision-making by integrating radiological and biochemical data using artificial intelligence. The model's predictive performance will be evaluated against standard clinical assessments.

NCT Number	NCT07001696
Lead Sponsor	Zagazig University
Conditions	Respiratory Failure, Critical Illness, Mechanical Ventilation
Enrollment	2,160 participants
Start Date	2025-06-01
Primary Completion	2025-12-31 (estimated)
Study Completion	2026-01-30 (estimated)
Updated on ClinicalTrials.gov	2025-06-03