Nursing

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

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Artificial Intelligence and Nursing: The Future Is Now.

As systems evolve over time, their natural tendency is to become increasingly more complex. Studies ...

Acceptability and Perceived Utility of Telemedical Consultation during Cardiac Arrest Resuscitation. A Multicenter Survey.

Many clinicians who participate in or lead in-hospital cardiac arrest (IHCA) resuscitations lack co...

Introducing artificial intelligence in acute psychiatric inpatient care: qualitative study of its use to conduct nursing observations.

BACKGROUND: All patients admitted to an acute inpatient mental health unit must have nursing observa...

Can machine learning optimize the efficiency of the operating room in the era of COVID-19?

The cancellation of large numbers of surgical procedures because of the coronavirus disease 2019 (CO...

Systems and Precision Medicine in Necrotizing Soft Tissue Infections.

Necrotizing soft tissue infections (NSTI) are multifactorial and characterized by dysfunctional, tim...

Postimplementation Evaluation of a Machine Learning-Based Deterioration Risk Alert to Enhance Sepsis Outcome Improvements.

Machine learning-based early warning systems (EWSs) can detect clinical deterioration more accuratel...

Artificial Intelligence Forecasting Census and Supporting Early Decisions.

Matching resources to demand is a daily challenge for hospital leadership. In interdisciplinary coll...

Rise of the Robots: Is Artificial Intelligence a Friend or Foe to Nursing Practice?

Much like other aspects of health care, nursing has become increasingly saturated with technology ov...

The Purpose of Bedside Robots: Exploring the Needs of Inpatients and Healthcare Professionals.

Robotic systems are used to support inpatients and healthcare professionals and to improve the effic...

Knowledge Discovery With Machine Learning for Hospital-Acquired Catheter-Associated Urinary Tract Infections.

Massive generation of health-related data has been key in enabling the big data science initiative t...

Leveraging Electronic Health Records and Machine Learning to Tailor Nursing Care for Patients at High Risk for Readmissions.

BACKGROUND: Electronic health record-derived data and novel analytics, such as machine learning, off...

[Application and Research of Digital Twin Technology in Safety and Health Monitoring of the Elderly in Community].

In this paper, through the research of digital twin technology, combined with the application of vis...

[Visual diagnosis : between medical education and advances in artificial intelligence].

The electrocardiogram, chest x-ray, and skin lesion interpretation are a diagnostic process that app...

NimbleMiner: An Open-Source Nursing-Sensitive Natural Language Processing System Based on Word Embedding.

This study develops and evaluates an open-source software (called NimbleMiner) that allows clinician...

[The robotic assistance system.].

The aging of the population is a reality common to the entire Western world, while the time availabl...

[Artificial intelligence and nursing care: reflections in psychiatry].

A key government priority, artificial intelligence (IA) in healthcare is a real opportunity for nurs...

How artificial intelligence is changing nursing.

This article provides an overview of artificial intelligence (AI), including how AI algorithms and r...

Artificial intelligence: Essentials for nursing.

Artificial intelligence (AI) is a transformational technology that will affect all healthcare provid...

[Construction and analysis of muscle functional network for exoskeleton robot].

Exoskeleton nursing robot is a typical human-machine co-drive system. To full play the subjective co...

Implementation of a Tool for the Assessment of the Frail Elderly in a Robotic Agent.

The concern for aging, chronic illness, and dependence is relevant in today's society. The Nursing d...

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