Exploration of Novel AI-Enabled Blue Light Enhanced Cystoscopy.
Primary:
To collect videos and relevant clinical data from BLC procedures performed as part of clinical practice. The data will be used to explore the potential of a BLC-enabled AI algorithm for lesion detection of bladder cancer.
- Rutgers University
Inclusion Criteria: - Age 18 or older - Written informed consent, approved by relevant IRB/IEC, signed - Hexvix/Cysview has been prescribed in the usual manner in accordance with the terms of the marketing authorization (see Appendix B) - Physician has planned to do a blue light cystoscopy on the patient and to obtain biopsies, if clinically indicated, of suspicious lesions with video confirmation. - Patient has not previously taken part in this study Exclusion Criteria: - None
Please note that we have obtained the inclusion and exclusion criteria information from the National Institutes of Health’s clinical trials web site ClinicalTrials.gov. The listed criteria may not necessarily reflect recent amendments to the protocol and the current criteria.
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