Abstract:The application of artificial intelligence (AI) in the diagnosis and treatment of bladder tumors has made significant progress. Machine learning and deep learning algorithms have played an important role in the imaging detection and diagnosis of bladder tumors, providing high accuracy in tumor detection, grading, and staging predictions. Additionally, AI has shown potential in clinical data analysis and treatment planning. In the future, strengthening the establishment of datasets, optimizing algorithms, and integrating AI with clinical practice is expected to further enhance the effectiveness of AI in the diagnosis and treatment of bladder tumors, ultimately providing better medical services for patients. This article reviews the current status and prospects of AI in the diagnosis and treatmentof bladder tumors.