Performance Estimation of Triaging Artificial Intelligence Based Computer-Aided Detection Algorithm in Routine Chest Radiography
University Hospitals Cleveland Medical Center
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.
Description
The study is a prospective study for measuring the performance of an AI software in detecting lung nodules from chest X-rays. Data collected during the study will be analyzed for study purposes after end date of data collection. There will be two study arms: the control arm and the interventional arm. Control Arm: There will be no interruption to the existing standard of care pathway. Interventional Arm: Use of AI will occur in parallel to the standard of care pathway. Consistent with the control Arm, the radiologists or clinicians interpreting the chest x-ray images will proceed as usua…
Eligibility
- Age range
- 18–89 years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: * 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 Criteria: * Incomplete view of the chest. * Lateral view * Known lung cancer at the time of Chest x-ray images.
Interventions
- DeviceAI Based CAD Software (qXR-Ln)
All x-ray images have already been obtained and will then be run through CAD software for secondary nodule detection
Location
- University HospitalsCleveland, Ohio