Actively Recruiting
AI Detection of Bladder Tumors Under Endoscopy
Led by Peking Union Medical College Hospital · Updated on 2024-06-25
1000
Participants Needed
1
Research Sites
573 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The goal of this clinical trial is to learn if the AI algorithm can detect bladder tumors better than urologists under cystoscopy. It will also train the AI algorithm for bladder tumor detection. The main question it aims to answer is: Can AI algorithm achieve IOU value, precision, recall, false negative rate of bladder tumor detection similar to that of urologists? The cystoscopy video will be annotated by AI and urologists. Researchers will compare AI algorithm to urologists to see if Al algorithm has a similar capability as urologists do.
CONDITIONS
Official Title
AI Detection of Bladder Tumors Under Endoscopy
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patient who has had a cystoscopy and the video is available
- One or more bladder lesions can be seen in the cystoscopy video
You will not qualify if you...
- Cystoscopy video is not clear enough to analyze
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Peking Union Medical College Hospital
Beijing, Beijing Municipality, China
Actively Recruiting
Research Team
Z
Zixing Ye
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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