Research progress of artificial intelligence in imaging evaluation of bladder cancer
HUANG Zhiqiang
WANG Xingping
Abstract：Bladder cancer is a urogenital system malignancy with high incidence and mortality.With the rapid development of artificial intelligence(AI),AI technologies based on machine learning and deep learning have been applied to the imaging diagnosis of bladder cancer,demonstrating potential clinical value particularly in automatic image segmentation,clinical staging,pathological diagnosis,prediction of relevant protein expression,assessment of chemotherapy efficacy,and prognosis evaluation.This article reviews the research progress of AI in the imaging evaluation of bladder cancer.
Keywords：Bladder cancerRadiomicsArtificial intelligenceMachine learningDeep learningMagnetic resonance imagingTomographyX-ray computed
Publication Date：2026-01-15
Online Publishing Date：2026-02-02(First online date of this platform, not the publication date of the document)
Pages：6( 90-95 )