Using AI to identify lung injuries from chest X-rays in trauma patients

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study compares the effectiveness of a computer-based system, LUNIT, in interpreting chest radiographs against standard interpretations by radiologists for detecting lung contusions in patients with blunt thoracic trauma. Patients presenting to the Emergency Department of IRCCS AOU of Bologna will have their chest X-rays analyzed by LUNIT and compared to traditional readings, with chest HRCT serving as the gold standard for accuracy. The study aims to enhance the identification of lung injuries, which is critical for managing potential complications such as respiratory failure.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* Age ≥ 18 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

Exclusion Criteria:

* none

Where it's running

• IRCCS Azienda Ospedaliero - Universitaria di Bologna
  Bologna, Italy Recruiting

Study contacts

• Principal investigator: Veronica Salvatore, MD — IRCCS Azienda Ospedaliero-Universitaria di Bologna
• Study coordinator: Veronica VS Salvatore, MD
• Email: veronica.salvatore@aosp.bo.it
• Phone: +390512144716

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.