View clinical trials related to Fetal Anomaly.
Filter by:The aim of our study is to determine the range of frontal horn sizes (both upside and downside) in healthy fetuses over gestation and to determine how far FHs are from the midline . Also to determine the range of cavum septi pellucidi and Corpus callosum sizes . Also, to determine whether the maternal body mass index (BMI) affects rates of visualized and non-visualized CSP and CC.
MARS is an artificial intelligence-powered system that aims at detecting common fetal anomalies during real-time obstetrics ultrasound. The current study comprises 2 stages: (1) The stage of model creation which will include retrospective collection of images from fetal anatomy scans with known diagnoses to train these model and test their diagnostic accuracy. (2) The stage of model validation through prospective application of this model to collected videos with known normal and abnormal diagnoses