Trials / Unknown
UnknownNCT05751538
Artificial Intelligence in Computed Tomography for Quantifying Lung Changes of Bronchiectasis Patients
Artificial Intelligence Based on Machine Learning in Computed Tomography for Quantifying Lung Changes of Bronchiectasis Patients
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 730 (estimated)
- Sponsor
- Ruijin Hospital · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
Summary
Bronchiectasis is a chronic respiratory disease characterized by permanent bronchiectasis.The incidence and prevalence of bronchiectasis have assumed continuously grows in global. Chest computed tomography (CT) remains the imaging standard for demonstrating cystic fibrosis (CF) airway structural disease in vivo. However, visual scoring systems as an outcome measure are time consuming, require training and lack high reproducibility. Our objective was to validate a fully automated artificial intelligence (AI)-driven scoring system of CF lung disease severity.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | No intervention | No intervention |
Timeline
- Start date
- 2023-03-01
- Primary completion
- 2023-06-30
- Completion
- 2023-12-30
- First posted
- 2023-03-02
- Last updated
- 2023-03-02
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT05751538. Inclusion in this directory is not an endorsement.