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AI in the Identification of Lung Contusions Through Chest Radiological Examination in Blunt Thoracic Trauma

NCT06777056 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 135

Last updated 2025-01-15

No results posted yet for this study

Summary

The observational study focuses on comparing the interpretation of chest radiological examinations performed using a computer-based system with the standard interpretation conducted by a radiologist. The "LUNIT" system serves as a tool designed to assist radiologists in detecting the 10 most common abnormalities visible on chest radiographs, with proven efficacy in large case series.

The investigation addresses the need to evaluate lung injuries resulting from thoracic trauma, which are linked to a higher risk of complications requiring close monitoring to detect potential respiratory failure.

The primary aim of the study is to assess the accuracy of the LUNIT system in interpreting chest radiographs for the identification of lung contusions compared to the standard radiologist-based interpretation.

Conditions

  • Lung Contusion

Sponsors & Collaborators

  • IRCCS Azienda Ospedaliero-Universitaria di Bologna

    lead OTHER

Principal Investigators

  • Veronica Salvatore, MD · IRCCS Azienda Ospedaliero-Universitaria di Bologna

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-12-15
Primary Completion
2025-06-15
Completion
2025-06-15

Countries

  • Italy

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 NCT06777056 on ClinicalTrials.gov