Artificial intelligence in urology

Raghav Gupta, Adriana Marcela Pedraza Bermeo, Krunal Pandav, Ashutosh Kumar Tewari

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The chapter reviews the current state of AI application in the field of urology and the role AI can play in assisting clinicians across various urologic subspecialities including urologic oncology, endourology, and andrology. The application of AI within urology thus far is summarized, and current examples of AI implementation within the field are provided encompassing the diagnosis of urological disease, the prediction of outcomes following urologic intervention, and the assessment of surgical performance/skill. The challenges to the widespread use and adoption of AI applications in urology are highlighted, including the paucity of multiinstitutional studies, a lack of understanding of the “science behind AI” amongst clinicians, and a significant cost associated with AI-related technologies. Finally, the future directions of AI application in urology are suggested.

Original languageEnglish
Title of host publicationArtificial Intelligence in Clinical Practice
Subtitle of host publicationHow AI Technologies Impact Medical Research and Clinics
PublisherElsevier
Pages259-265
Number of pages7
ISBN (Electronic)9780443156885
ISBN (Print)9780443156892
DOIs
StatePublished - 1 Jan 2023

Keywords

  • Artificial intelligence
  • andrology
  • artificial neural networks (ANN)
  • endourology
  • machine learning
  • oncology
  • urology

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