Evaluating the Real World Performance of an AI Based Lung Nodule Detection Tool
Performance Estimation of Triaging Artificial Intelligence Based Computer-Aided Detection Algorithm in Routine Chest Radiography
University Hospitals Cleveland Medical Center
45,991 participants
Jun 24, 2025
OBSERVATIONAL
Conditions
Summary
chest x-rays will be analyzed by AI software for a secondary read of lung nodules. Chest x-rays will either be sent to the AI tool to be read or to radiologists to read. If the image is sent to the AI tool, the AI software will generate a report on if it detects a lung nodule or not. The image will then be sent to a radiologist to determine if there is agreement or disagreement with the AI tool.
Eligibility
Inclusion Criteria4
- Chest X-ray images of patients aged 18 - 89 years.
- Modality: CR/DR/DX.
- PA/view
- Lung nodules measuring 6 mm -30 mm (for chest X-ray images where presence of nodules is required).
Exclusion Criteria3
- Incomplete view of the chest.
- Lateral view
- Known lung cancer at the time of Chest x-ray images.
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Interventions
All x-ray images have already been obtained and will then be run through CAD software for secondary nodule detection
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT06597968