Trials / Completed
CompletedNCT07328997
Exploration of Diagnosis and Treatment Strategies and Prognostic Prediction Models for Acute Respiratory Distress Syndrome Based on Radiographic Evaluations Assessed by Artificial Intelligence
- Status
- Completed
- Phase
- —
- Study type
- Observational
- Enrollment
- 400 (actual)
- Sponsor
- Shanghai Zhongshan Hospital · Academic / Other
- Sex
- All
- Age
- 18 Years – 100 Years
- Healthy volunteers
- Not accepted
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.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| DIAGNOSTIC_TEST | CT scan | CT scan |
Timeline
- Start date
- 2024-05-31
- Primary completion
- 2025-11-30
- Completion
- 2025-11-30
- First posted
- 2026-01-09
- Last updated
- 2026-01-09
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT07328997. Inclusion in this directory is not an endorsement.