Validation of new ultrasound algorithm for estimating prevalence of anal sphincter trauma in a urogynecological population.

Hans Peter Dietz Ka Lai ShekG K Low

Published in: Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology (2022)

Neither the Gillor algorithm nor the residual-defect method of quantifying sphincter trauma on imaging is clearly superior in terms of predicting AI. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.

Keyphrases

machine learning
magnetic resonance imaging
deep learning
trauma patients
artificial intelligence
urinary incontinence
high resolution
risk factors
contrast enhanced ultrasound
ultrasound guided
neural network
high grade
mass spectrometry