Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework Journal Articles uri icon

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abstract

  • The Standardized Reporting of Machine Learning Applications in Urology (STREAM-URO) framework was developed to provide a set of recommendations to help standardize how machine learning studies in urology are reported. This framework serves three purposes: (1) to promote high-quality studies and streamline the peer review process; (2) to enhance reproducibility, comparability, and interpretability of results; and (3) to improve engagement and literacy of machine learning within the urological community.

authors

  • Kwong, Jethro CC
  • McLoughlin, Louise C
  • Haider, Masoom
  • Goldenberg, Mitchell G
  • Erdman, Lauren
  • Rickard, Mandy
  • Lorenzo, Armando J
  • Hung, Andrew J
  • Farcas, Monica
  • Goldenberg, Larry
  • Nguan, Chris
  • Braga, Luis
  • Mamdani, Muhammad
  • Goldenberg, Anna
  • Kulkarni, Girish S

publication date

  • July 2021