Actively Recruiting
Evaluating the Real World Performance of an AI Based Lung Nodule Detection Tool
Led by University Hospitals Cleveland Medical Center · Updated on 2026-01-29
45991
Participants Needed
1
Research Sites
44 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Evaluating the Real World Performance of an AI Based Lung Nodule Detection Tool
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Chest X-ray images of patients aged 18 to 89 years
- Modality: CR/DR/DX
- Images must be PA/view
- Lung nodules measuring between 6 mm and 30 mm (when nodules are present on chest X-ray images)
You will not qualify if you...
- Incomplete view of the chest in the X-ray image
- Lateral view images
- Known lung cancer at the time of chest X-ray imaging
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
University Hospitals
Cleveland, Ohio, United States, 44106
Actively Recruiting
Research Team
L
Lauren Hahn
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
2
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