AI Detection of Bladder Tumors Under Endoscopy
Recruiting now
Conditions studied: Bladder Tumor
In brief
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.
Key facts
- Study ID
- NCT06474338
- Run by
- Peking Union Medical College Hospital
- People needed
- 1000
- Starts
- 2024-01-01
- Expected to finish
- 2034-12-31
- Last updated by the study team
- 2024-06-25
Who can join
Age: 18 and older, up to 100. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- The patient who receives cystoscopy and the cystoscopy video is available, and one or multiple bladder lesions can be observed in the cystoscopy.
You may not qualify if…
- The patient whose cystoscopy is not clear enough to analyze.
Where it is running
- Peking Union Medical College Hospital — Beijing, Beijing Municipality, China (enrolling)
Full record on ClinicalTrials.gov
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