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 …

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) …

Background: The clinical decision-making process in pressure ulcer management is
complex, and its quality depends on both the nurse's experience and the availability of …

Background Spinal cord injury is a complex chronic health condition that requires
individuals to actively self-manage. Therefore, an evidence-based, self-management app …

Background Although there is considerable interest in machine learning (ML) and artificial
intelligence (AI) in critical care, the implementation of effective algorithms into practice has …

Aims and objectives To summarize the use of machine learning (ML) for hospital‐acquired
pressure injury (HAPI) prediction and to systematically assess the performance and …

Background: A pressure ulcer is injury to the skin or underlying tissue, caused by pressure,
friction, and moisture. Hospital-acquired pressure ulcers (HAPUs) may not only result in …

Background: Primary care health professionals, especially family physicians, see a variety of
wounds, and yet—despite the frequency of providing wound care—many family physicians …

Background Modern clinical care in intensive care units is full of rich data, and machine
learning has great potential to support clinical decision-making. The development of …

Background: Mobile health applications can offer tailored self-management support to
individuals living with chronic health conditions. However, there are several challenges to …