Bladder Cancer and Artificial Intelligence: Emerging Applications

Urol Clin North Am. 2024 Feb;51(1):63-75. doi: 10.1016/j.ucl.2023.07.002. Epub 2023 Aug 25.

Abstract

Bladder cancer is a common and heterogeneous disease that poses a significant burden to the patient and health care system. Major unmet needs include effective early detection strategy, imprecision of risk stratification, and treatment-associated morbidities. The existing clinical paradigm is imprecise, which results in missed tumors, suboptimal therapy, and disease progression. Artificial intelligence holds immense potential to address many unmet needs in bladder cancer, including early detection, risk stratification, treatment planning, quality assessment, and outcome prediction. Despite recent advances, extensive work remains to affirm the efficacy of artificial intelligence as a decision-making tool for bladder cancer management.

Keywords: AI-assisted diagnosis; Artificial intelligence; Bladder cancer; Deep learning; Image processing; Outcome prediction; Treatment planning; Urology.

Publication types

  • Review

MeSH terms

  • Artificial Intelligence*
  • Delivery of Health Care
  • Humans
  • Urinary Bladder Neoplasms* / diagnosis
  • Urinary Bladder Neoplasms* / therapy