Obstruction risk from common ultrasound parameters in pediatric hydronephrosis with machine learning.
Adree KhondkerJethro C C KwongMargarita ChancyNeeta D'SouzaKellie KimJin K KimLai Nam TseMichael ChuaPriyank YadavLauren ErdmanJohn WeaverArmando J LorenzoMandy RickardPublished in: BJU international (2023)
Coupled with machine learning, routine ultrasound findings can improve the criteria to determine in which children with isolated hydronephrosis a diuretic renogram can be safely avoided. Further optimization and validation are required prior to implementation into clinical practice.