Aim To present an overview of how artificial intelligence has been used to improve clinical
nursing care. Background Artificial intelligence has been reshaping the healthcare industry …

Patient monitoring technology has been used to guide therapy and alert staff when a vital
sign leaves a predefined range in the intensive care unit (ICU) for decades. However, large …

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

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 …

Whole body plethysmography (WBP) monitors respiratory rate and depth but conventional
analysis fails to capture the diversity of waveforms. Our first purpose was to develop a …

It was aimed at the clinical value of predictive nursing and Algoplaque hydrocolloid dressing
(AHD) combined with nanosilver antibacterial gel in treating medical device‐related …

Background With the development of Artificial Intelligence (AI) techniques, smart health
monitoring, particularly neonatal cardiorespiratory monitoring with wearable devices, is …

Abstract Aim In 2017, the Leiden University Medical Centre implemented a secondary alarm
system using handheld devices to ensure accurate patient monitoring on the single room …

Respiratory insufficiency is a leading cause of death due to drug overdose or neuromuscular
disease. We hypothesized that a novel stimulation paradigm using temporal interference (TI) …