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

NCT06512142 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 30000

Last updated 2024-07-22

No results posted yet for this study

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

Sponsors & Collaborators

  • University of Medicine and Pharmacy "Victor Babes" Timisoara

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-11-01
Primary Completion
2024-12-30
Completion
2025-03-31

Countries

  • Romania

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06512142 on ClinicalTrials.gov