Condition: Respiratory Failure · Critical Illness · Mechanical Ventilation · Sponsor: Zagazig University
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.
This description comes directly from the study's public registry record.
Omaima Ibrahim Prof · +201001664310 · OIAbdelhamid@medicine.zu.edu.eg
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| Faculty of medicine, zagazig university | Zagazig, Al Sharqia, Egypt | Recruiting |
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Source record: clinicaltrials.gov/study/NCT07001696