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AI Detection of Bladder Tumors Under Endoscopy

RECRUITINGSponsored by Peking Union Medical College Hospital
Actively Recruiting
SponsorPeking Union Medical College Hospital
Started2024-01-01
Est. completion2033-12-31
Eligibility
Age18 Years – 100 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT06474338

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

Age: 18 Years – 100 YearsHealthy volunteers accepted
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.

Conditions2

Bladder TumorCancer

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Trial data from ClinicalTrials.gov. Trial status and eligibility can change — verify directly with the study contact or on ClinicalTrials.gov.

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