Among congenital malformations, heart defects are the most common type of anomaly, and
these are associated with a high perinatal, longterm morbidity and mortality. The objective of …

Deep learning has demonstrated excellent results for ECG anomaly detection, wherein most
approaches used supervised learning. The requirement of thousands of manually annotated …

Objective: There is a need for standardized reference values for cardiac dimensions in
prenatal life. The objective of the present study was to construct nomograms for fetal cardiac …

Surgical simulators are valuable educational tools for physicians, enhancing their
proficiency and improving patient safety. However, they typically still suffer from a lack of …

Non-invasive foetal electrocardiography (fECG) continues to be an open topic for research.
The development of standard algorithms for the extraction of the fECG from the maternal …

Congenital heart defects represent the most common structural anomalies observed in the
fetal population, and they are often associated with significant morbidity and mortality. The …

Objective Congenital heart defects are the most common major structural fetal abnormalities.
Color flow mapping has played a dominant role in the detection of abnormalities during the …

Objectives To assess the feasibility of retrieval of intact human fetal hearts after first trimester
surgical termination of pregnancy (TOP) and subsequent anatomical assessment by …

Abstract Objectives Congenital heart defects (CHDs) are the most common birth defects.
Recently, artificial intelligence (AI) was used to assist in CHD diagnosis. No comparison has …

Dentro de las malformaciones congénitas, las cardiopatías son las anomalías más
frecuentes y se asocian a una elevada morbimortalidad perinatal ya largo plazo. El objetivo …