At a glance
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Exploration of Diagnosis and Treatment Strategies and Prognostic Prediction Models for Acute Respiratory Distress Syndrome Based on Radiographic Evaluations Assessed by Artificial Intelligence
In Brief
An observational study evaluating CT scan for ARDS (Acute Respiratory Distress Syndrome) and AI (Artificial Intelligence). Completed, enrolled 400 participants across 1 site.
Detailed Summary
By using multi-center chest CT data, an intelligent assessment model for the severity of ARDS was constructed. Based on CT quantitative features and clinical characteristics, a prediction model for short-term critical events (such as mechanical ventilation decisions, prone position strategies, death, ECMO use, etc.) was established. The disease was staged and quantified, and a diagnosis and risk stratification model for ARDS was developed to assist in guiding the diagnosis and treatment strategies for ARDS.
Study Details
Timeline
Interventions
CT scan