Nursing

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...

An interdisciplinary team-training protocol for robotic gynecologic surgery improves operating time and costs: analysis of a 4-year experience in a university hospital setting.

Main aim of this study is to assess the effect of a structured, interdisciplinary, surgical, team-tr...

The application of Robocare nursing model in the whole nursing care of Da Vinci robot-assisted laparoscopic radical cancer surgery.

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...

Agreement in Risk of Bias Assessment Between RobotReviewer and Human Reviewers: An Evaluation Study on Randomised Controlled Trials in Nursing-Related Cochrane Reviews.

PURPOSE: RobotReviewer is a machine learning system for semi-automated assistance in risk of bias as...

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...

Identification of Gout Flares in Chief Complaint Text Using Natural Language Processing.

Many patients with gout flares treated in the Emergency Department (ED) often do not receive optimal...

From Code to Bedside: Implementing Artificial Intelligence Using Quality Improvement Methods.

Despite increasing interest in how artificial intelligence (AI) can augment and improve healthcare d...

Machine learning methods to improve bedside fluid responsiveness prediction in severe sepsis or septic shock: an observational study.

BACKGROUND: Passive leg raising (PLR) predicts fluid responsiveness in critical illness, although re...

AI for Improving Children's Health: A Community Case Study.

The Indian health care system lacks the infrastructure to meet the health care demands of the countr...

Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges.

This study examines the current state of artificial intelligence (AI)-based technology applications ...

Comparison of Robot-Assisted and Laparoscopic Partial Nephrectomy for Renal Hilar Tumors: Results from a Tertiary Referral Center.

To compare perioperative, functional, and oncologic outcomes between robot-assisted partial nephrec...

Nursing documentation of symptoms is associated with higher risk of emergency department visits and hospitalizations in homecare patients.

BACKGROUND: Nurses often document patient symptoms in narrative notes.

Predicted Influences of Artificial Intelligence on the Domains of Nursing: Scoping Review.

BACKGROUND: Artificial intelligence (AI) is set to transform the health system, yet little research ...

A deep learning backcasting approach to the electrolyte, metabolite, and acid-base parameters that predict risk in ICU patients.

BACKGROUND: A powerful risk model allows clinicians, at the bedside, to ensure the early identificat...

Increase of verbal communication by long-term use of transfer-support robots in nursing facilities.

Paradigm Shift Toward Digital Neuropsychology and High-Dimensional Neuropsychological Assessments: Review.

Neuropsychologists in the digital age have increasing access to emerging technologies. The National ...

Brain Contrast-Enhanced Ultrasound Evaluation of a Pediatric Swine Model.

Brain injury remains a leading cause of morbidity and mortality in children. We evaluated the feasib...