Application advances of artificial intelligence in bladder cancer imaging

doi:10.3877/cma.j.issn.1674-3253.2026.03.001

Abstract

Abstract:

With the rapid advancement of computer technology, artificial intelligence (AI) has demonstrated wide application prospects in the imaging diagnosis of bladder cancer (BC). By developing AI models based on radiomics or deep learning algorithms, it is possible to effectively distinguish between non-muscle-invasive and muscle-invasive BC, predict pathological grades and subtypes, biomarker expression, lymph node metastasis status, and prognosis. In addition, AI can assist in bladder or tumor segmentation, image denoising, and radiotherapy planning, markedly improving working efficiency. This article reviews the application progress of AI in BC imaging in hopes of facilitating the clinical application of AI models for BC diagnosis and treatment.

Key words: Bladder cancer, Artificial intelligence, Machine learning, Radiomics, Deep learning

Chuxi Huang, Zhuo Wu. Application advances of artificial intelligence in bladder cancer imaging[J]. Chinese Journal of Endourology(Electronic Edition), 2026, 20(03): 241-247.

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