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.
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Accuracy of ARDS severity classification
Timeframe: Baseline, defined as within 24 hours of index chest CT acquisition during ICU admission.
Treatment plan matching rate between model-recommended and actual clinical management.
Timeframe: Baseline, defined as within 24 hours of index chest CT acquisition during ICU admission.
Accuracy of 28-day in-hospital mortality prediction.
Timeframe: Up to 28 days from ICU admission, or until hospital discharge, whichever occurs first.