Prenatal hydronephrosis: Bridging pre‐and postnatal management
Urinary tract dilation (UTD), including hydronephrosis (HN) is the most common prenatally
detected anomaly and affects up to 1%–2% of pregnancies. Postnatally, it resolves without …
detected anomaly and affects up to 1%–2% of pregnancies. Postnatally, it resolves without …
The silent trial-the bridge between bench-to-bedside clinical AI applications
As more artificial intelligence (AI) applications are integrated into healthcare, there is an
urgent need for standardization and quality-control measures to ensure a safe and …
urgent need for standardization and quality-control measures to ensure a safe and …
Standardized reporting of machine learning applications in urology: the STREAM-URO framework
In the past 5 years, there has been widespread interest in artificial intelligence (AI) and its
potential applications in medicine. Novel applications of machine learning (ML) and deep …
potential applications in medicine. Novel applications of machine learning (ML) and deep …
Predictive accuracy of prenatal ultrasound findings for lower urinary tract obstruction: a systematic review and Bayesian meta‐analysis
Background Lower urinary tract obstruction (LUTO) is a rare but critical fetal diagnosis.
Different ultrasound markers have been reported with varying sensitivity and specificity …
Different ultrasound markers have been reported with varying sensitivity and specificity …
[HTML][HTML] Artificial intelligence tools in pediatric urology: a comprehensive review of recent advances
Artificial intelligence (AI) is providing novel answers to long-standing clinical problems, and
it is quickly changing pediatric urology. This thorough analysis focuses on current …
it is quickly changing pediatric urology. This thorough analysis focuses on current …
A machine learning-based approach for quantitative grading of vesicoureteral reflux from voiding cystourethrograms: Methods and proof of concept
Introduction The objectivity of vesicoureteral reflux (VUR) grading has come into question for
low inter-rater reliability. Using quantitative image features to aid in VUR grading may make …
low inter-rater reliability. Using quantitative image features to aid in VUR grading may make …
When the model trains you: induced belief revision and its implications on artificial intelligence research and patient care—a case study on predicting obstructive …
Exposure to research data and artificial intelligence (AI) model predictions may lead to many
sources of bias in clinical decision-making and model evaluation. These include anchoring …
sources of bias in clinical decision-making and model evaluation. These include anchoring …
Evaluation of pediatric hydronephrosis using deep learning quantification of fluid-to-kidney-area ratio by ultrasonography
Purpose Hydronephrosis is the dilation of the pelvicalyceal system due to the urine flow
obstruction in one or both kidneys. Conventionally, renal pelvis anterior–posterior diameter …
obstruction in one or both kidneys. Conventionally, renal pelvis anterior–posterior diameter …
The Hydronephrosis Severity Index guides paediatric antenatal hydronephrosis management based on artificial intelligence applied to ultrasound images alone
Antenatal hydronephrosis (HN) impacts up to 5% of pregnancies and requires close,
frequent follow-up monitoring to determine who may benefit from surgical intervention. To …
frequent follow-up monitoring to determine who may benefit from surgical intervention. To …
Predicting obstruction risk using common ultrasonography parameters in paediatric hydronephrosis with machine learning
A Khondker, JCC Kwong, M Chancy… - BJU …, 2024 - Wiley Online Library
Objective To sensitively predict the risk of renal obstruction on diuretic renography using
routine reported ultrasonography (US) findings, coupled with machine learning approaches …
routine reported ultrasonography (US) findings, coupled with machine learning approaches …