Nursing

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.

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...

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

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

Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches.

Early and accurate prediction of the need for intubation may provide more time for preparation and i...

Multimodal spatio-temporal deep learning approach for neonatal postoperative pain assessment.

The current practice for assessing neonatal postoperative pain relies on bedside caregivers. This pr...

Laparoscopy & robotics: a historical parallel.

The evolution of robotic platforms has brought up ethical, economic, educational, and clinical appli...

Machine Learning for Mortality Analysis in Patients with COVID-19.

This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain)....

Acceptability of Using a Robotic Nursing Assistant in Health Care Environments: Experimental Pilot Study.

BACKGROUND: According to the US Bureau of Labor Statistics, nurses will be the largest labor pool in...

Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.

RATIONALE: Susceptibility to VT/VF (ventricular tachycardia/fibrillation) is difficult to predict in...

Functional Testing for Tranexamic Acid Duration of Action Using Modified Viscoelastometry.

INTRODUCTION: Tranexamic acid (TXA) is the standard medication to prevent or treat hyperfibrinolysis...

Ready for the robot? A cross-sectional survey of OB/GYN fellowship directors' experience and expectations of their incoming fellow's robotic surgical skills.

To describe OB/GYN fellowship directors' (FDs) observations, expectations, and preferences of incomi...

Machine learning prediction for mortality of patients diagnosed with COVID-19: a nationwide Korean cohort study.

The rapid spread of COVID-19 has resulted in the shortage of medical resources, which necessitates a...