Latest AI and machine learning research in nursing for healthcare professionals.
Patient transfer, such as carrying a bedridden patient from a bed to a pedestal pan or a wheelchair and back, is one of the most physically challenging tasks in nursing care facilities. To reduce the intensity of physical labor on nurses or caregivers, a piggyback transfer robot has been developed by imitating the motion when a person holds another person on his/her back. As the chest holder suppo...
The disease Alzheimer is an irrepressible neurologicalbrain disorder. Earlier detection and proper treatment of Alzheimer's disease can help for brain tissue damage prevention. The study was intended to explore the segmentation effects of convolutional neural network (CNN) model on Magnetic Resonance (MR) imaging for Alzheimer's diagnosis and nursing. Specifically, 18 Alzheimer's patients admitted...
OBJECTIVES: We retrospectively investigated if robot-assisted laparoscopic partial nephrectomy (RAPN) contributes to a decrease in resected parenchyma...
BACKGROUND: To reduce the physical burden of caregivers, wearable transfer support robots are highly desirable. Although these robots are reportedly e...
OBJECTIVES: This manuscript describes the application of deep learning to physiology education of Student Registered Nurse Anesthetists (SRNA) and the...
We aimed to create and validate a natural language processing algorithm to extract wound infection-related information from nursing notes. We also est...
BACKGROUND: Within surgery, assistive robotic devices (ARD) have reported improved patient outcomes. ARD can offer the surgical team a "third hand" to...
PURPOSE: Due to the increasing demand for intensive care unit (ICU) treatment, and to improve quality and efficiency of care, there is a need for adeq...
AIM: To develop a consensus paper on the central points of an international invitational think-tank on nursing and artificial intelligence (AI).
In Japan, nursing records are not easily put to secondary use because nursing documentation is not standardized. In recent years, electronic health re...
Natural language processing software programs are used primarily to mine both structured and unstructured data from the electronic health record and o...
Data science continues to be recognized and used within healthcare due to the increased availability of large data sets and advanced analytics. It can...
The bans on visiting nursing homes during the COVID-19 pandemic, while intended to protect residents, also have the risk of increasing the loneliness ...
Machine learning is increasingly integrated into clinical practice, with applications ranging from pre-clinical data processing, bedside diagnosis ass...
Suction during robotic surgery has traditionally been performed by a bedside assistant. Adequately skilled assistants are not always available. We as...
IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary care physicians (PCPs) or nurse practitioners (NPs).
AIM: Considering the increasing number of emerging infectious diseases, innovative approaches are strongly in demand. Additionally, research in this f...
Minimally invasive surgery techniques have evolved remarkably over the past few decades in the field of surgical oncology, including robotic technique...
Lung ultrasound (LUS) imaging as a point-of-care diagnostic tool for lung pathologies has been proven superior to X-ray and comparable to CT, enabling...