Fostering Informed Consent and Shared Decision-Making in Maternity Nursing With the Advancement of Artificial Intelligence.

Artificial intelligence (AI), defined as algorithms built to reproduce human behavior, has various applications in health care such as risk prediction, medical image classification, text analysis, and complex disease diagnosis. Due to the increasing availability and volume of data, especially from electronic health records, AI technology is expanding into all fields of nursing and medicine. As the health care system moves toward automation and computationally driven clinical decision-making, nurses play a vital role in bridging the gap between the technological output, the patient, and the health care team.

Application of Predictive Analytics in Pregnancy, Birth, and Postpartum Nursing Care.

Predictive analytics has emerged as a promising approach for improving reproductive health care and patient outcomes. During pregnancy and birth, the ability to accurately predict risks and complications could enable earlier interventions and reduce adverse events. However, there are challenges and ethical considerations for implementing predictive models in perinatal care settings.

More than the passage of time: neonatal health and active labor duration, the mediating role of chorioamnionitis.

Background: Labor intervention is intended to prevent perinatal morbidity and mortality. Labor durations traditionally defined as "dystocia" affect primary cesarean delivery rates. However, there is mixed evidence about the association between labor duration and poor neonatal outcomes.

Deep learning model using continuous skin temperature data predicts labor onset.

Background: Changes in body temperature anticipate labor onset in numerous mammals, yet this concept has not been explored in humans. We investigated if continuous body temperature exhibits similar changes in women and whether these changes may be linked to hormonal status. Finally, we developed a deep learning model using temperature patterning to provide a daily forecast of time to labor onset.