NCT06512142

Using Artificial Intelligence for the Detection of Respiratory Diseases Associated With Pollution

• Status: Enrolling By Invitation
• Phase: —
• Study type: Observational
• Enrollment: 30,000 (estimated)
• Sponsor: University of Medicine and Pharmacy "Victor Babes" Timisoara · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

Generating a picture at the city level, through geospatial and temporal grouping a lung diseases associated or exacerbated by pollution (COPD, AB and neoplasm pulmonary or pleural) and correlating this data with pollution data. Development of an accurate and prognostic HRCT imaging diagnostic tool, computer assisted in the mentioned pathology, by generating an algorithm capable of to detect early the follow-up tomographic imaging lesions, as well as to evaluate objective their speed of evolution. Validation of the proposed algorithm by comparison with medical diagnosis.

Conditions

• COPD Asthma
• Lung Neoplasm
• Emphysema

Timeline

• Start date: 2023-11-01
• Primary completion: 2024-12-30
• Completion: 2025-03-31
• First posted: 2024-07-22
• Last updated: 2024-07-22

Locations

1 site across 1 country: Romania