Nursing

Improving difficult direct laryngoscopy prediction using deep learning and minimal image analysis: a single-center prospective study.

Accurate prediction of difficult direct laryngoscopy (DDL) is essential to ensure optimal airway man...

Effects of Job Crafting and Leisure Crafting on Nurses' Burnout: A Machine Learning-Based Prediction Analysis.

AIM: To explore the status of job crafting, leisure crafting, and burnout among nurses and to examin...

Evaluation of future nurses' knowledge, attitudes and anxiety levels about artificial intelligence applications.

RATIONALE: Evaluating future nurses' perspectives on artificial intelligence, determining their miss...

The emerging role of generative artificial intelligence in transplant medicine.

Generative artificial intelligence (AI), a subset of machine learning that creates new content based...

[Samii: a robotic mediation application to improve geriatric care].

The emergence of social robots in gerontology has introduced new playful and reassuring media into n...

Artificial intelligence in nursing care: The gap between research and the real world.

Falls Prevention Using AI and Remote Surveillance in Nursing Homes.

The older population of United States is growing, with more adults having complicated medical condit...

Navigating the Pedagogical Landscape: Exploring the Implications of AI and Chatbots in Nursing Education.

This viewpoint paper explores the pedagogical implications of artificial intelligence (AI) and AI-ba...

Evolution of Chatbots in Nursing Education: Narrative Review.

BACKGROUND: The integration of chatbots in nursing education is a rapidly evolving area with potenti...

LDSG-Net: an efficient lightweight convolutional neural network for acute hypotensive episode prediction during ICU hospitalization.

. Acute hypotension episode (AHE) is one of the most critical complications in intensive care unit (...

Applying machine learning to construct an association model for lung cancer and environmental hormone high-risk factors and nursing assessment reconstruction.

INTRODUCTION: To utilize machine learning techniques to develop an association model linking lung ca...

Assessment of Saudi Public Perceptions and Opinions towards Artificial Intelligence in Health Care.

The healthcare system in Saudi Arabia is growing rapidly with the utilization of advanced technolog...

Teaching clinical reasoning: principles from the literature to help improve instruction from the classroom to the bedside.

Clinical reasoning has been characterized as being an essential aspect of being a physician. Despite...

No playing around with robots? Ambivalent attitudes toward the use of Paro in elder care.

This paper explores the ways in which health care professionals, family carers, and older persons ex...

Barriers and facilitators to technology acceptance of socially assistive robots in older adults - A qualitative study based on the capability, opportunity, and motivation behavior model (COM-B) and stakeholder perspectives.

This study aimed to identify barriers and facilitators to older adults' acceptance of socially assis...

Using AI-Based Technologies to Help Nurses Detect Behavioral Disorders: Narrative Literature Review.

BACKGROUND: The behavioral and psychological symptoms of dementia (BPSD) are common among people wit...

Effects of midwifery and nursing students' readiness about medical Artificial intelligence on Artificial intelligence anxiety.

BACKGROUND: Artificial intelligence technologies are one of the most important technologies of today...

Art or Artifact: Evaluating the Accuracy, Appeal, and Educational Value of AI-Generated Imagery in DALL·E 3 for Illustrating Congenital Heart Diseases.

Artificial Intelligence (AI), particularly AI-Generated Imagery, has the potential to impact medical...

The Cooperation Between Nurses and a New Digital Colleague "AI-Driven Lifestyle Monitoring" in Long-Term Care for Older Adults: Viewpoint.

Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial i...

Machine learning evaluation of inequities and disparities associated with nurse sensitive indicator safety events.

PURPOSE: To use machine learning to examine health equity and clinical outcomes in patients who expe...

Prediction of candidemia with machine learning techniques: state of the art.

In this narrative review, we discuss studies assessing the use of machine learning (ML) models for t...