RECRUITINGOBSERVATIONAL
AI Detection of Bladder Tumors Under Endoscopy
Artificial Intelligence Detection of Bladder Tumors Under Endoscopy
About This Trial
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.
Who May Be Eligible (Plain English)
Who May Qualify:
The patient who receives cystoscopy and the cystoscopy video is available, and one or multiple bladder lesions can be observed in the cystoscopy.
Who Should NOT Join This Trial:
The patient whose cystoscopy is not clear enough to analyze.
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
Inclusion Criteria:
The patient who receives cystoscopy and the cystoscopy video is available, and one or multiple bladder lesions can be observed in the cystoscopy.
Exclusion Criteria:
The patient whose cystoscopy is not clear enough to analyze.
Treatments Being Tested
DIAGNOSTIC_TEST
detection by artificial intelligence
The bladder lesion(s) are detected by artificial intelligence algorithm.
DIAGNOSTIC_TEST
detection by urologists
The bladder lesion(s) are detected by urologists.
Locations (1)
Peking Union Medical College Hospital
Beijing, Beijing Municipality, China