Nursing

Latest AI and machine learning research in nursing for healthcare professionals.

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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...

Humanoid socially assistive robots in dementia care: a qualitative study about expectations of caregivers and dementia trainers.

OBJECTIVE: To examine the expectations of informal caregivers, nurses, and dementia trainers regardi...

Task-sharing with artificial intelligence: a design hypothesis for an Emergency Unit in sub-Saharan Africa.

In sub-Saharan Africa, there is a significant unmet need for emergency care, with a shortage of trai...

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 ...

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...

Technology Acceptance of a Machine Learning Algorithm Predicting Delirium in a Clinical Setting: a Mixed-Methods Study.

Early identification of patients with life-threatening risks such as delirium is crucial in order to...

Convolutional neural network-based ambient light-independent panel digit surveillance technique for infusion pumps.

For effective patient therapy and improved patient safety, it is critical to administer medication a...

Machine learning-based cytokine microarray digital immunoassay analysis.

Serial measurement of a large panel of protein biomarkers near the bedside could provide a promising...

How Robots Help Nurses Focus on Professional Task Engagement and Reduce Nurses' Turnover Intention.

PURPOSE: To examine how robot-enabled focus on professional task engagement and robot-reduced nonpro...

Interdisciplinary collaboration between nursing and engineering in health care: A scoping review.

BACKGROUND: Due to the rapid advancements in precision medicine and artificial intelligence, interdi...

An eight-camera fall detection system using human fall pattern recognition via machine learning by a low-cost android box.

Falls are a leading cause of unintentional injuries and can result in devastating disabilities and f...

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