Testing AI to spot bladder tumors during camera examination
Compares an AI program with urologists in finding bladder tumors during cystoscopy.
Plain-language title generated from the registry record
Registry title: AI Detection of Bladder Tumors Under Endoscopy
Key facts
- Where
- Beijing, ChinaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 100 years old?
Source: NCT06474338, who can take part
Where in China
- Peking Union Medical College HospitalBeijing, ChinaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Peking Union Medical College Hospital
- Trial code
- NCT06474338
- Record updated
- 25 June 2024
- Original description
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:Read full original descriptionShow less
Artificial Intelligence Detection of Bladder Tumors Under Endoscopy
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.
Inclusion: The patient who receives cystoscopy and the cystoscopy video is available, and one or multiple bladder lesions can be observed in the cystoscopy.
Exclusion: The patient whose cystoscopy is not clear enough to analyze.