The prospect of machine learning in predicting post-lithotripsy outcomes.

Journal: World journal of urology
PMID: 32719928

Abstract

No abstract available for this article.

Authors

  • Linjie Peng
    Department of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Kangda Road 1, Haizhu District, Guangzhou, 510230, China.
  • Jinyou Pan
    Department of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Kangda Road 1, Haizhu District, Guangzhou, 510230, China.
  • Ding Yang
    Department of Urology, Minimally Invasive Surgery Center, The First Affiliated Hospital of Guangzhou Medical University, Kangda Road 1, Haizhu District, Guangzhou, 510230, China.
  • Wen Zhong
    Department of Chemical Engineering , Carnegie Mellon University , Pittsburgh , Pennsylvania 15217 , United States.

Keywords

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