Machine learning models to predict the zero-fragment rate and lower pole access with FANS during flexible

Frédéric Panthier1,2,3,4,5, Daron Smith6,7, Olivier Traxer8,9,10,7

  • 1Department of Urology, Westmoreland Street Hospital, and Clinical Microbiology, UCLH NHS Foundation Trust, London, UK. fredericpanthier@gmail.com.

PubMed
Abstract