Machine learning in renal cell carcinoma research: the promise and pitfalls of ‘renal-izing’ the potential of artificial intelligence

the EAU-YAU Renal Cancer Working Group

Research output: Contribution to journalLetter

3 Scopus citations
Original languageEnglish
Pages (from-to)231-232
Number of pages2
JournalBJU International
Volume132
Issue number2
DOIs
StatePublished - Aug 2023

Keywords

  • Kidney Neoplasms
  • Algorithms
  • Humans
  • Artificial Intelligence
  • Carcinoma, Renal Cell/diagnosis
  • Machine Learning

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