Clinical trial · Observational
AI Detection of Bladder Tumors Under Endoscopy
Artificial Intelligence Detection of Bladder Tumors Under Endoscopy
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
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
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Bladder Tumor | Bladder Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (2)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| detection by artificial intelligence | Diagnostic Test | — | UNRESOLVED |
| detection by urologists | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (2)
- label
- detection by artificial intelligence
- description
- The patient with bladder lesion confirmed by cystoscopy, these bladder lesion(s) are detected by artificial intelligence algorithm.
- interventionNames
- Diagnostic Test: detection by artificial intelligence
- label
- detection by urologists.
- description
- The patient with bladder lesion confirmed by cystoscopy, these bladder lesion(s) are detected by urologist.
- interventionNames
- Diagnostic Test: detection by urologists
Primary outcomes (1)
- measure
- intersection over union
- timeFrame
- From Jan 1st 2024 to Dec 31st 2033
- description
- The overlapping area of the actual bladder lesion and detected bladder lesion divided by their combined areas.
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 100 Years
Show eligibility criteria text
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.
References
Publications (0)
Data not yet available