Young Han Kim

Deep learning–based automated cervical length measurement improves spontaneous preterm birth risk stratification in women with a borderline short cervix (20–25 mm) at mid‐trimester: A retrospective cohort study

Abstract Objective This study evaluates whether deep learning (DL)‐based automated cervical length (CL) measurement provides improved risk stratification for spontaneous preterm birth (PTB), compared with conventional CL measurement methods, in women with a borderline short cervi...