Artificial Intelligence Detection of Bladder Tumors Under Endoscopy
Status: Recruiting
Location: See location...
Intervention Type: Diagnostic test
Study Type: Observational
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
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 100
Healthy Volunteers: f
View:
• The patient who receives cystoscopy and the cystoscopy video is available, and one or multiple bladder lesions can be observed in the cystoscopy.
Locations
Other Locations
China
Peking Union Medical College Hospital
RECRUITING
Beijing
Contact Information
Primary
Zixing Ye
yezixing@pumch.cn
+86-18611385866
Time Frame
Start Date: 2024-01-01
Estimated Completion Date: 2034-12-31
Participants
Target number of participants: 1000
Treatments
detection by artificial intelligence
The patient with bladder lesion confirmed by cystoscopy, these bladder lesion(s) are detected by artificial intelligence algorithm.
detection by urologists.
The patient with bladder lesion confirmed by cystoscopy, these bladder lesion(s) are detected by urologist.
Related Therapeutic Areas
Sponsors
Leads: Peking Union Medical College Hospital