Pediatric hydronephrosis severity from ultrasound images

Abstract

A method for predicting a severity and appearance of renal obstruction, including receiving, via processing circuitry, a plurality of medical images corresponding to a kidney of a patient, identifying, the kidney in the plurality of medical images, selecting, at least one relevant image from the plurality of medical images based on a relationship to renal function, standardizing the at least one relevant image, determining, via a deep learning model at least one risk score based on the at least one relevant image, and determining, a final ultrasound-based risk score based on the at least one risk score, wherein the final ultrasound-based risk score is a determination of renal obstruction and/or a probability of renal obstruction. Clinical and/or demographic patient information can be used along with the final ultrasound-based risk score to determine a final risk score to predict the severity and appearance of renal obstruction.