Clin2
NCT07640906Worth exploringNot yet recruiting

AI assistance for chest CT scan reporting speed and quality

Thoracic DiseasesChest CT ScanArtificial Intelligence (AI) in Diagnosis

Part of Lungs & breathing clinical trials.

This study evaluates whether artificial intelligence can help radiologists interpret chest CT scans faster and more accurately. Researchers will compare how radiologists perform with and without AI assistance to see if it improves both the speed and quality of their reports.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
75 people
Ages
18 years and older
Study type
Observational

Who can take part

  • You must be a board-certified radiologist who specializes in or regularly reads chest CT scans
  • You must work full-time at one of the participating hospital centers throughout the entire study period
  • You must have interpreted at least 50 eligible chest CT scans during both study periods (with and without AI)
  • You cannot have taken extended leave (more than 4 weeks) or changed jobs between the two study periods
  • You must be willing to share your de-identified performance data and basic professional information (experience level, gender) for the study

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

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