Nursing

Motion Analysis and Tactile-Based Impedance Control of the Chest Holder of a Piggyback Patient Transfer Robot.

Patient transfer, such as carrying a bedridden patient from a bed to a pedestal pan or a wheelchair ...

The Application of Convolutional Neural Network Model in Diagnosis and Nursing of MR Imaging in Alzheimer's Disease.

The disease Alzheimer is an irrepressible neurologicalbrain disorder. Earlier detection and proper t...

Comparison of parenchymal volume loss assessed by three-dimensional computed tomography volumetry and renal functional recovery between conventional and robot-assisted laparoscopic partial nephrectomy.

OBJECTIVES: We retrospectively investigated if robot-assisted laparoscopic partial nephrectomy (RAPN...

Identification of care tasks for the use of wearable transfer support robots - an observational study at nursing facilities using robots on a daily basis.

BACKGROUND: To reduce the physical burden of caregivers, wearable transfer support robots are highly...

A deep learning approach to student registered nurse anesthetist (SRNA) education.

OBJECTIVES: This manuscript describes the application of deep learning to physiology education of St...

The COVID-19 pandemic and organizational resilience as unanticipated outcome of introducing socially assistive robots in nursing homes.

Exploring prevalence of wound infections and related patient characteristics in homecare using natural language processing.

We aimed to create and validate a natural language processing algorithm to extract wound infection-r...

An eye-tracking based robotic scrub nurse: proof of concept.

BACKGROUND: Within surgery, assistive robotic devices (ARD) have reported improved patient outcomes....

Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.

PURPOSE: Due to the increasing demand for intensive care unit (ICU) treatment, and to improve qualit...

Artificial intelligence in nursing: Priorities and opportunities from an international invitational think-tank of the Nursing and Artificial Intelligence Leadership Collaborative.

AIM: To develop a consensus paper on the central points of an international invitational think-tank ...

Automatic Classification of Electronic Nursing Narrative Records Based on Japanese Standard Terminology for Nursing.

In Japan, nursing records are not easily put to secondary use because nursing documentation is not s...

Testing the Use of Natural Language Processing Software and Content Analysis to Analyze Nursing Hand-off Text Data.

Natural language processing software programs are used primarily to mine both structured and unstruc...

Data Science Methods for Nursing-Relevant Patient Outcomes and Clinical Processes: The 2019 Literature Year in Review.

Data science continues to be recognized and used within healthcare due to the increased availability...

Reducing Loneliness in Stationary Geriatric Care with Robots and Virtual Encounters-A Contribution to the COVID-19 Pandemic.

The bans on visiting nursing homes during the COVID-19 pandemic, while intended to protect residents...

Machine learning in clinical decision making.

Machine learning is increasingly integrated into clinical practice, with applications ranging from p...

Impact of Surgeon-Controlled Suction During Robotic Prostatectomy to Reduce Dependence on Bedside Assistance.

Suction during robotic surgery has traditionally been performed by a bedside assistant. Adequately ...

Development and Assessment of an Artificial Intelligence-Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices.

IMPORTANCE: Most dermatologic cases are initially evaluated by nondermatologists such as primary car...

How does innovative technology impact nursing in infectious diseases and infection control? A scoping review.

AIM: Considering the increasing number of emerging infectious diseases, innovative approaches are st...

Robotic D2 Total Gastrectomy with Fluorescent Lymphatic Mapping for Gastric Cancer: Effective Use of the 4th Arm.

Minimally invasive surgery techniques have evolved remarkably over the past few decades in the field...

Automatic deep learning-based pleural effusion classification in lung ultrasound images for respiratory pathology diagnosis.

Lung ultrasound (LUS) imaging as a point-of-care diagnostic tool for lung pathologies has been prove...

Three machine learning algorithms and their utility in exploring risk factors associated with primary cesarean section in low-risk women: A methods paper.

Machine learning, a branch of artificial intelligence, is increasingly used in health research, incl...