AI-based endoscopy, particularly cystoscopy, helps urologists identify cancerous areas effectively by using deep learning algorithms trained on large datasets of medical images.
A review of multiple databases found five studies that demonstrated AI's impressive sensitivity (0.953) and specificity (0.957) in detecting bladder cancer when compared to traditional histopathology.
While AI's application in bladder cancer detection shows promise, further research is needed to validate and enhance its effectiveness in clinical practice.