Cystoscopic Diagnosis of Bladder Cancer Using Artificial Intelligence

Abstract

In the treatment of bladder cancer, oversight of tumor lesions during cystoscopy is a critical problem, leading to a high rate of postoperative intravesical recurrence. One of the reasons for this is the difference in tumor detection abilities among doctors based on their experience and skill. Therefore, we have sought to improve the accuracy of diagnosis and treatment of bladder cancer by developing a cystoscopy support system. The system uses artificial intelligence that recognizes tumor sites and identifies them in images effectively as expert urologists.