AI Detection of Bladder Tumors Under Endoscopy
Artificial Intelligence Detection of Bladder Tumors Under Endoscopy
Peking Union Medical College Hospital
1,000 participants
Jan 1, 2024
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria1
- The patient who receives cystoscopy and the cystoscopy video is available, and one or multiple bladder lesions can be observed in the cystoscopy.
Exclusion Criteria1
- The patient whose cystoscopy is not clear enough to analyze.
Interventions
The bladder lesion(s) are detected by artificial intelligence algorithm.
The bladder lesion(s) are detected by urologists.
Locations(1)
View Full Details on ClinicalTrials.gov
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NCT06474338