Tests an AI tool to detect bladder cancer during cystoscopy
Compares an AI-supported scope with standard white light scope for bladder cancer detection in adults.
Plain-language title generated from the registry record
Registry title: Study of bladdeR Cancer Detection in Standard White Light Versus AI-Supported Endoscopy-02
Key facts
- Where
- Aarhus, DenmarkSee the site
Where in Denmark
- Department of Urology, Aarhus University HospitalAarhus, DenmarkNo longer taking part
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
- Cystotech
- Trial code
- NCT06780358
- Record updated
- 17 January 2025
- Original description
This study is being conducted to investigate if an artificial intelligence support tool is non-inferior in detecting bladder cancer compared to the traditional method, standard white light cystoscopy (WLC). The researchers will compare how well the artificial intelligence tool and WLC perform in detecting bladder cancer through a controlled, organized testing process.Read full original descriptionShow less
Study of bladdeR Cancer Detection in Standard White Light Versus AI-Supported Endoscopy-02
This study is being conducted to investigate if an artificial intelligence support tool is non-inferior in detecting bladder cancer compared to the traditional method, standard white light cystoscopy (WLC). The researchers will compare how well the artificial intelligence tool and WLC perform in detecting bladder cancer through a controlled, organized testing process.
Inclusion: Men and women adults, age >18 years old; Suspicion of primary or recurrent bladder cancer; Willingness to sign the Informed Consent Form (ICF) for the CI; Ability to comprehend the oral and written Patient Information Leaflet (PIL).
Exclusion: Not able or willing to sign the Informed Consent Form.