Nursing

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

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A deep learning approach for sepsis monitoring via severity score estimation.

BACKGROUND AND OBJECTIVE: Sepsis occurs in response to an infection in the body and can progress to ...

Assessment of User Needs for Telemedicine Robots in a Developing Nation Hospital Setting.

This study aimed to investigate the needs of medical users of telemedicine robots to encourage inte...

Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study.

The medical community is in agreement that artificial intelligence (AI) will have a radical impact ...

[Gerontology, geriatric medicine and robot research : Look back to the future].

Assistive robotics as a gerontological geriatric field of research so far seem to be perceived more ...

Application of Computed Tomography Imaging in Diagnosis of Endocrine Nerve of Gastric Cancer and Nursing Intervention Effect.

In this article, some parameters and characteristics of computed tomography (CT) images in patients ...

Robotic Localization Based on Planar Cable Robot and Hall Sensor Array Applied to Magnetic Capsule Endoscope.

Recently an active locomotive capsule endoscope (CE) for diagnosis and treatment in the digestive sy...

[Ethical, legal and social requirements for assistive robots in healthcare : Viewpoint of management personnel in hospitals and nursing homes].

BACKGROUND: In 2030 there will be 4 million people in need of care in Germany; however, the nursing ...

Effects on sleep from group activity with a robotic seal for nursing home residents with dementia: a cluster randomized controlled trial.

OBJECTIVES: Sleep disturbances are common in people with dementia and increase with the severity of ...

[Assistive robots for nursing care : Available products and research fields].

In the media more and more can be read about "care robots" as a possible solution for the current la...

[Acceptance of assistive robots in the field of nursing and healthcare : Representative data show a clear picture for Germany].

In view of the ageing society and the high costs of support and care in private households, the ques...

Artificial intelligence in trauma systems.

Local trauma care and regional trauma systems are data-rich environments that are amenable to machin...

Data-driven ICU management: Using Big Data and algorithms to improve outcomes.

The digitalization of the Intensive Care Unit (ICU) led to an increasing amount of clinical data bei...

Patient-Centered Appointment Scheduling: a Call for Autonomy, Continuity, and Creativity.

When making an appointment, patients are generally unaware of how much clinician time is available t...

Predicting Coronavirus Disease 2019 Infection Risk and Related Risk Drivers in Nursing Homes: A Machine Learning Approach.

OBJECTIVE: Inform coronavirus disease 2019 (COVID-19) infection prevention measures by identifying a...

Application of Machine Learning Methods in Nursing Home Research.

A machine learning (ML) system is able to construct algorithms to continue improving predictions an...

Microbial contamination and efficacy of disinfection procedures of companion robots in care homes.

BACKGROUND: Paro and other robot animals can improve wellbeing for older adults and people with deme...

The myth of generalisability in clinical research and machine learning in health care.

An emphasis on overly broad notions of generalisability as it pertains to applications of machine le...

ZiMM: A deep learning model for long term and blurry relapses with non-clinical claims data.

This paper considers the problems of modeling and predicting a long-term and "blurry" relapse that o...

Role of Assistive Robots in the Care of Older People: Survey Study Among Medical and Nursing Students.

BACKGROUND: Populations are aging at an alarming rate in many countries around the world. There has ...

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