Deep learning based automated quantification of urethral plate characteristics using the plate objective scoring tool (POST).

Journal: Journal of pediatric urology
Published Date: Aug 1, 2023

Abstract

INTRODUCTION: The plate objective scoring tool (POST) was recently introduced as a reproducible and precise approach to quantifying urethral plate (UP) characteristics and guide to selecting particular surgical techniques. However, defining the landmarks mandatory for the POST score from captured images can potentially leads to variability. Although artificial intelligence (AI) is yet to be wholly accepted and explored in hypospadiology, it has certainly brought new possibilities to light.

Authors

  • Tariq O Abbas
    Pediatric Urology Section, Sidra Medicine, Doha, Qatar; College of Medicine, Qatar University, Doha, Qatar; Weill Cornell Medicine Qatar, Doha, Qatar. Electronic address: tabbas@sidra.org.
  • Mohamed AbdelMoniem
    Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Ibrahim A Khalil
    Urology Department, Hamad Medical Corporation, Doha, Qatar.
  • Md Sakib Abrar Hossain
    Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.
  • Muhammad E H Chowdhury
    Department of Electrical Engineering, Qatar University, Doha 2713, Qatar.

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