Nursing

Mobile Remote Presence Robots for Medical Consultation and Social Connectedness.

We demonstrate that Mobile Remote Presence systems (MRP) aka telepresence robots can be successfully...

Service Robotics in Nursing Care. The Preliminary Results of a Scoping Review.

A scoping review was prepared in the first study phase of the REsPonSe project. The objective was to...

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...

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

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...

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 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...

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 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...

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...

Artificial intelligence for retinopathy of prematurity.

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

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 ...

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...

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...

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...

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...