Actively Recruiting
Combining Chest X-Ray and Arterial Blood Gas Findings to Predict Need for Mechanical Ventilation in Critically Ill Patients
Led by Zagazig University · Updated on 2025-06-03
2160
Participants Needed
1
Research Sites
34 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Combining Chest X-Ray and Arterial Blood Gas Findings to Predict Need for Mechanical Ventilation in Critically Ill Patients
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Critically ill adult patients aged 18 years or older
- Patients assessed to require mechanical ventilation
- Control group: Age- and sex-matched critically ill patients not requiring mechanical ventilation
- Availability of both chest X-ray and arterial blood gas (ABG) analysis at the time of evaluation
You will not qualify if you...
- Patients with missing or incomplete data (e.g., absent chest X-ray or ABG results)
- Patients with chronic lung diseases unrelated to the current admission (e.g., COPD, pulmonary fibrosis)
- Pregnant females
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Faculty of medicine, zagazig university
Zagazig, Al Sharqia, Egypt, 44151
Actively Recruiting
Research Team
O
Omaima Ibrahim Prof
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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