Application of artificial neural networks for automated analysis of cystoscopic images: a review of the current status and future prospects

Background Optimal detection and surveillance of bladder cancer (BCa) rely primarily on the cystoscopic visualization of bladder lesions. AI-assisted cystoscopy may improve image recognition and accelerate data acquisition.