Machine learning and disease prediction in obstetrics.

Machine learning technologies and translation of artificial intelligence tools to enhance the patient experience are changing obstetric and maternity care. An increasing number of predictive tools have been developed with data sourced from electronic health records, diagnostic imaging and digital devices. In this review, we explore the latest tools of machine learning, the algorithms to establish prediction models and the challenges to assess fetal well-being, predict and diagnose obstetric diseases such as gestational diabetes, pre-eclampsia, preterm birth and fetal growth restriction.

Contemplating Chronic Cough in Children.

Chronic cough is one of the most common reasons children seek care from their pediatrician. A cough can be distressing both to the patient and family as it may raise concerns for a significant underlying diagnosis that could warrant a thorough investigation. Chronic cough can be challenging for the family and the pediatrician due to its broad differential diagnosis.