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AI Detection of Bladder Tumors Under Endoscopy

NCT06474338 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 1000

Last updated 2024-06-25

No results posted yet for this study

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.

Conditions

  • Bladder Tumor

Interventions

DIAGNOSTIC_TEST

detection by artificial intelligence

The bladder lesion(s) are detected by artificial intelligence algorithm.

DIAGNOSTIC_TEST

detection by urologists

The bladder lesion(s) are detected by urologists.

Sponsors & Collaborators

  • Peking Union Medical College Hospital

    lead OTHER

Principal Investigators

  • Zixing Ye · Peking Union Medical College Hospital

Eligibility

Min Age
18 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-01-01
Primary Completion
2033-12-31
Completion
2034-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06474338 on ClinicalTrials.gov