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Artificial Intelligence Detection of Bladder Tumors under Endoscopy

Artificial Intelligence Detection of Bladder Tumors under Endoscopy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400085921
Enrollment
Unknown
Registered
2024-06-21
Start date
2024-07-01
Completion date
Unknown
Last updated
2024-07-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

bladder tumor

Interventions

Gold Standard:The annotation of the bladder tumors by urologist
Index test:The recognition of bladder tumor by algorithm

Sponsors

Peking Union Medical College Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: The patients who had bladder tumor and received WLC or TURBT, and the full-length surgery video is available.

Exclusion criteria

Exclusion criteria: 1. The video is too blurry to distinguish the normal bladder wall and bladder tumor. 2. Lack of the appearance of bladder tumor before resection. 3. Lack of informed consent.

Design outcomes

Primary

MeasureTime frame
Sensitivity;False negative rate;

Secondary

MeasureTime frame
Precision;False positive rate;

Countries

China

Contacts

Public ContactYe Zixing

Peking Union Medical College Hospital

yezixing@pumch.cn+86 186 1138 5866

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026