Application of Artificial intelligence to images seen during bronchoscopy procedure to differentiate into various lung cancer subtypes.
- Conditions
- Health Condition 1: C34- Malignant neoplasm of bronchus andlung
- Registration Number
- CTRI/2023/01/049050
- Lead Sponsor
- AIIMS Rishikesh
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
The bronchoscopy digital database in our Bronchoscopy OR will be screened both retrospectively and prospectively to retrieve bronchoscopic images representative of an endobronchial lesion. Those images in which a corresponding histopathologically-confirmed diagnosis of lung cancer is available will be chosen for further analysis.
1.Patients with non-malignant endo-bronchial lesions (e.g., infectious, inflammatory).
2.Patients with endo-bronchial metastasis from extra-thoracic or unknown primary.
3.Patients not giving consent.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method
- Secondary Outcome Measures
Name Time Method