Deep learning system improved detection efficacy of fetal intracranial malformations in a randomized controlled trial.

ABSTRACT: Congenital malformations of the central nervous system are among the most common major congenital malformations. Deep learning systems have come to the fore in prenatal diagnosis of congenital malformation, but the impact of deep learning-assisted detection of congenital intracranial malformations from fetal neurosonographic images has not been evaluated. Here we report a three-way crossover, randomized control trial (Trial Registration: ChiCTR2100048233) that assesses the efficacy of a deep learning system, the Prenatal Ultrasound Diagnosis Artificial Intelligence Conduct System (PAICS), in assisting fetal intracranial malformation detection. A total of 709 fetal neurosonographic images/videos are read interactively by 36 sonologists of different expertise levels in three reading modes: u

SUBMITTER: Lin M 

PROVIDER: S-EPMC10575919 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature