Nursing

Predicting Falls Among Community-Dwelling Older Adults: A Demonstration of Applied Machine Learning.

Data science skills are increasingly needed by informatics nurses and nurse scientists, but techniqu...

Intelligent body behavior feature extraction based on convolution neural network in patients with craniocerebral injury.

Patients with craniocerebral injury are in serious condition and inconvenient to take care of. This ...

CE: Nursing Orientation to Data Science and Machine Learning.

Nurses collect, use, and produce data every day in countless ways, such as when assessing and treati...

Predicting pressure injury using nursing assessment phenotypes and machine learning methods.

OBJECTIVE: Pressure injuries are common and serious complications for hospitalized patients. The pre...

The Potential of AI in Care Optimization: Insights from the User-Driven Co-Development of a Care Integration System.

Transitions from one level of care to another are complex processes that pose medical and organizati...

Deep Learning Methods and Their Application to Nursing Workflows: Technology and Perspectives.

AI technology for remote clinical assessment and monitoring.

OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered,...

Robot-assisted minimally invasive esophagectomy (RAMIE): tips and tricks from the bedside assistant view-expert experiences.

The role of bedside assistants in robot-assisted minimally invasive esophagectomy is important. It i...

Transforming clinical data into wisdom: Artificial intelligence implications for nurse leaders.

Machine intelligence for early targeted precision management and response to outbreaks of respiratory infections.

OBJECTIVES: To evaluate the utility of machine learning (ML) for the management of Medicare benefici...

Robot-Assisted Total Pancreatectomy With Autologous Islet Cell Transplantation: Perioperative Nursing Considerations.

Chronic pancreatitis (CP) is an inflammatory disease of the pancreas that causes pain and gastrointe...

Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.

Two distinct phenotypes of acute respiratory distress syndrome (ARDS) with differential clinical ou...

Enhancing Quality of Patients Care and Improving Patient Experience in China with Assistance of Artificial Intelligence.

Improving health of Chinese people has become national strategy according to the . Patient experienc...

Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach.

BACKGROUND: Bedside monitors in the ICU routinely measure and collect patients' physiologic data in ...

Artificial intelligence for retinopathy of prematurity.

PURPOSE OF REVIEW: In this article, we review the current state of artificial intelligence applicati...

Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques.

The incidence rate of pressure injury is a critical nursing quality indicator in clinic care; conseq...

Fall Detector Adapted to Nursing Home Needs through an Optical-Flow based CNN.

Fall detection in specialized homes for the elderly is challenging. Vision-based fall detection solu...

Detecting falls and estimation of daily habits with depth images using machine learning algorithms.

Different approaches have been proposed in the literature to detect the fall of an elderly person. I...

A Survey of Nurses' Need for Care Robots in Children's Hospitals: Combining Robot-Care, Game-Care, and Edu-Care.

The purpose of this study was to investigate nurses' need for care robots in children's hospitals an...

Integrating Socially Assistive Robots into Japanese Nursing Care.

This paper presents experiences of integrating assistive robots in Japanese nursing care through sem...

Investigating the Barriers to Physician Adoption of an Artificial Intelligence- Based Decision Support System in Emergency Care: An Interpretative Qualitative Study.

The development of artificial intelligence (AI) systems to support diagnostic decision-making is rap...