Background: Predictions in pregnancy care are complex because of interactions among
multiple factors. Hence, pregnancy outcomes are not easily predicted by a single predictor …

The use of apps that record detailed menstrual cycle data presents a new opportunity to
study the menstrual cycle. The aim of this study is to describe menstrual cycle characteristics …

Background Despite the emerging application of clinical decision support systems (CDSS)
in pregnancy care and the proliferation of artificial intelligence (AI) over the last decade, it …

Background Clinical data synthesis aims at generating realistic data for healthcare research,
system implementation and training. It protects patient confidentiality, deepens our …

In the United States (US), Black women in the perinatal period disproportionately experience
higher rates of mental health challenges like anxiety and postpartum depression. Digital …

The increasing pace of data collection has led to increasing awareness of privacy risks,
resulting in new data privacy regulations like General data Protection Regulation (GDPR) …

For most women of reproductive age, assessing menstrual health and fertility typically
involves regular visits to a gynecologist or another clinician. While these evaluations provide …

Necrotising enterocolitis (NEC) is one of the most common diseases in neonates and
predominantly affects premature or very-low-birth-weight infants. Diagnosis is difficult and …

Most American women become aware of pregnancy~ 3–7 weeks after conceptive sex, and
all must seek testing to confirm their pregnant status. The delay between conceptive sex and …

As self-tracking practices continue to proliferate, there has been a call for a consideration of
how the design of these devices influence the users experience of themselves and their …