Introduction: Artificial intelligence is used widely in the medical field, and machine learning
has seen increasing use in healthcare, prediction and diagnosis and as a method of …

Abstract Machine Learning (ML) has been widely used in predicting the mode of childbirth
and assessing the potential maternal risks during pregnancy. The primary aim of this review …

Artificial intelligence (AI) has revolutionized numerous industries, including medicine. In
recent years, the integration of AI into medical practices has shown great promise in …

Introduction Machine learning (ML) corresponds to a wide variety of methods that use
mathematics, statistics and computational science to learn from multiple variables …

Preeclampsia, a multisystem disorder in pregnancy, is still one of the main causes of
maternal morbidity and mortality. Due to a lack of a causative therapy, an accurate prediction …

The mode of delivery is a crucial determinant for ensuring the safety of both mother and
child. The current practice for predicting the mode of delivery is generally the opinion of the …

Cesarean section around the world is increasing at an alarming rate. Cesarean section, on
one hand, may introduce different short-term and long-term complications for mother; on …

Background The applications of artificial intelligence (AI) processes have grown significantly
in all medical disciplines during the last decades. Two main types of AI have been applied in …

Background The use of artificial intelligence has revolutionized every area of life such as
business and trade, social and electronic media, education and learning, manufacturing …

Objectives The aim of this study was to compare the accuracy of seven classical Machine
Learning (ML) models trained with ultrasound (US) soft markers to raise suspicion of …