AI detection of bladder tumors during cystoscopy

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This clinical trial aims to evaluate whether an AI algorithm can detect bladder tumors more effectively than urologists during cystoscopy. The study will involve annotating cystoscopy videos with both AI and urologist input to compare their detection capabilities. The primary focus is on achieving similar performance metrics, such as precision and recall, between the AI and human observers. By leveraging advanced deep learning techniques, the research seeks to enhance the accuracy of bladder tumor detection, which is critical for effective patient management.

Why it matters

Who can join: the full rules

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.

Where it's running

• Peking Union Medical College Hospital
  Beijing, Beijing Municipality, China Recruiting

Study contacts

• Principal investigator: Zixing Ye — Peking Union Medical College Hospital
• Study coordinator: Zixing Ye
• Email: yezixing@pumch.cn
• Phone: +86-18611385866

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.