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 …

Artificial intelligence (AI) offers tremendous potential to transform neonatology through
improved diagnostics, personalized treatments, and earlier prevention of complications …

Neonatal care is becoming increasingly complex with large amounts of rich, routinely
recorded physiological, diagnostic and outcome data. Artificial intelligence (AI) has the …

Introduction Neonatal sepsis is a major cause of health loss and mortality worldwide.
Without proper treatment, neonatal sepsis can quickly develop into multisystem organ …

Aim Sepsis is a leading cause of morbidity and mortality in neonates. Early diagnosis is key
but difficult due to non‐specific signs. We investigate the predictive value of machine …

Background Heart rate characteristics aid early detection of late-onset sepsis (LOS), but
respiratory data contain additional signatures of illness due to infection. Predictive models …

Artificial intelligence, including machine learning and deep learning, play an essential role
in the medical industry for predicting various diseases. One such disease or disorder is a …

Neonatal diseases are among the main causes of morbidity and a significant contributor to
underfive mortality in the world. There is an increase in understanding of the …

The aim of this study is to develop an explainable late-onset sepsis (LOS) prediction
algorithm using continuous multi-channel physiological signals that can be applied to a …

Artificial intelligence may have a role in the early detection of sepsis in neonates. Machine
learning can identify patterns that predict high or increasing risk for clinical deterioration from …