Background Artificial intelligence (AI) holds the promise of supporting nurses' clinical
decision-making in complex care situations or conducting tasks that are remote from direct …

Artificial intelligence (AI) represents a valuable tool that could be used to improve the safety
of care. Major adverse events in healthcare include: healthcare-associated infections …

Background Immune system dysregulation plays a critical role in aortic valve calcification
(AVC) and metabolic syndrome (MS) pathogenesis. The study aimed to identify pivotal …

Artificial intelligence (AI) has become a progressively prevalent Research Topic in medicine
and is increasingly being applied to dermatology. There is a need to understand this …

PURPOSE: The purpose of this secondary analysis was to examine pressure injury (PI)
prevalence, PI risk factors, and prevention practices among adult critically ill patients in …

Background Pressure injury (PI) is a common and preventable problem, yet it is a challenge
for at least two reasons. First, the nurse shortage is a worldwide phenomenon. Second, the …

Purpose Build machine learning models for predicting pressure ulcer nursing adverse event,
and find an optimal model that predicts the occurrence of pressure ulcer accurately. Patients …

Background Critically ill patients have a variety of unique risk factors for pressure injury.
Identification of these risk factors is essential to prevent pressure injury in this population …

Pressure Injuries (PI) are one of the most common health conditions in the United States.
Most acute or long-term care patients are at risk of developing PI. Machine Learning (ML) …

Objective Pressure injuries are common and serious complications for hospitalized patients.
The pressure injury rate is an important patient safety metric and an indicator of the quality of …