AI Detection of Bladder Tumors Under Endoscopy
ConditionBladder Tumor
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorPeking Union Medical College Hospital
About this trial
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 criteria
This trial does not accept healthy volunteersQualifiers
None
Disqualifiers
None
Trial population
The patients with benign or malignant bladder lesion.
Trial design
Design model
Case-only
Time perspective
Retrospective
Treatments tested in this trial
detection by artificial intelligence
Diagnostic testThe bladder lesion(s) are detected by artificial intelligence algorithm.
detection by urologists
Diagnostic testThe bladder lesion(s) are detected by urologists.
Treatment groups
1,000 Participants
are divided into 2 treatment groupsGroup A: detection by artificial intelligence1 intervention
Group B: detection by urologists.1 intervention
Trial outcomes
Primary outcomes
1
intersection over union
The overlapping area of the actual bladder lesion and detected bladder lesion divided by their combined areas.
Time frame
From Jan 1st 2024 to Dec 31st 2033Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov