Importance Despite the potential of machine learning to improve multiple aspects of patient
care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a …

Abstract Machine learning and deep learning are two subsets of artificial intelligence that
involve teaching computers to learn and make decisions from any sort of data. Most recent …

Cortisol obtained from hair samples represents a retrospective biomarker of chronic stress
experienced by the subject in previous months. Although hair cortisol levels have been used …

Artificial intelligence (AI) is emerging as a promising healthcare technology. Especially in
critical, data-driven, and complex environments such as acute care, the use of AI can …

Aim This systematic review aimed to differentiate and isolate the results of different music‐
based interventions used with preterm infants in the neonatal intensive care unit and explore …

CONTEXT Artificial intelligence (AI) technologies are increasingly used in pediatrics and
have the potential to help inpatient physicians provide high-quality care for critically ill …

Background: The intrauterine hearing experience differs from the extrauterine hearing
exposure within a neonatal intensive care unit (NICU) setting. Also, the listening experience …

Background and objective Hospitalized preterm infants experience reduced meaningful
auditory exposures during a critical period of brain development. Music-based interventions …

Background Preterm birth interferes with brain maturation, and subsequent clinical events
and interventions may have additional deleterious effects. Music as therapy is offered …

Background: Several factors can influence the production of mothers' own milk. Purpose: To
assess the influence of maternal psychological stress, maternal cortisol levels, and neonatal …