AI Detection of Bladder Tumors Under Endoscopy

Condition(s) studied

Investigational drug(s) / intervention(s)

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

detection by urologists: The bladder lesion(s) are detected by urologists.

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.

Eligibility

Primary outcome measure(s)

• intersection over union — From Jan 1st 2024 to Dec 31st 2033
  The overlapping area of the actual bladder lesion and detected bladder lesion divided by their combined areas.

Trial sites (1)

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