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Study identifier: NCT06777056 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Lung Contusion  ·  Sponsor: IRCCS Azienda Ospedaliero-Universitaria di Bologna

PhaseN/A
Planned participants135
Who can joinAll sexes, 18 Years to no upper limit
Healthy volunteersNo

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Veronica VS Salvatore, MD  ·  +390512144716  ·  veronica.salvatore@aosp.bo.it

Always discuss trial participation with your own doctor first.

Locations (1)

IRCCS Azienda Ospedaliero - Universitaria di BolognaBologna, ItalyRecruiting

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Source record: clinicaltrials.gov/study/NCT06777056