Actively Recruiting
AI in the Identification of Lung Contusions Through Chest Radiological Examination in Blunt Thoracic Trauma
Led by IRCCS Azienda Ospedaliero-Universitaria di Bologna · Updated on 2025-01-15
135
Participants Needed
1
Research Sites
26 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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
Official Title
AI in the Identification of Lung Contusions Through Chest Radiological Examination in Blunt Thoracic Trauma
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Age 2518 years
- Patients presenting to the general Emergency Department of the IRCCS AOU of Bologna between June 1, 2014, and June 1, 2024, for blunt thoracic trauma
- Performance of chest HRCT within 48 hours of standard chest X-ray
You will not qualify if you...
- None
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
IRCCS Azienda Ospedaliero - Universitaria di Bologna
Bologna, Italy, 40138
Actively Recruiting
Research Team
V
Veronica VS Salvatore, MD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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