Application of head-mounted display-based augmented and mixed reality in nursing education: a scoping review.

Background: With Generation Z becoming the primary group of nursing learners and the increasing shortage of nursing education resources, augmented reality and mixed reality based on head-mounted displays are being used more and more in nursing education. However, the current application landscape and the proper usage of these concepts remain unclear. Therefore, this study aims to conduct a scoping review to explore the current applications of head-mounted display-based augmented reality and mixed reality in nursing education and to clarify the definitions and usage of the concepts of augmented reality and mixed reality, ultimately providing directions for future applications and research.

To take a different approach: Can large language models provide knowledge related to respiratory aspiration?

Objective: To investigate the performance (accuracy, comprehensiveness, consistency, and the necessary information ratio) of large language models (LLMs) in providing knowledge related to respiratory aspiration, and to explore the potential of using LLMs as training tools.

Methods: This study was a non-human-subject evaluative research. Two LLMs (GPT-3.

Nurses' Experiences of Providing Dysphagia Services Through the Internet+Nursing Service Care Model: Qualitative Study.

Background: With China's aging population and increasing prevalence of chronic diseases, the Internet+Nursing Service has emerged as a new care model, enabling registered nurses from medical institutions to provide home-based care through a web-based application and offline service model. This care model is particularly beneficial for vulnerable populations, such as patients with dysphagia, who face significant risks like malnutrition and aspiration pneumonia. Nurses play a critical role in delivering these services, yet their experiences, challenges, and support needs remain underexplored.

Application of Handheld Augmented Reality in Nursing Education: A Scoping Review.

Background: Handheld augmented reality (HAR) offers a promising approach for nursing education, leveraging the affordability and portability of devices such as smartphones. However, its use in nursing education is still emerging, with many aspects yet to be fully explored.

Purpose: To explore the application of HAR technology in nursing education.

Effects of Non-Pharmacological Interventions on the Swallowing Function of Patients With Post-Stroke Dysphagia: A Systematic Review and Network Meta-Analysis.

Background: Post-stroke dysphagia can lead to serious complications and appropriate rehabilitation can significantly improve swallowing function. However, the best rehabilitation method for post-stroke dysphagia patients is not clear at the present stage, so it is necessary to conduct a comprehensive network meta-analysis and systematic review of different interventions for dysphagia.

Objective: To compare the effectiveness and ranking of different interventions for improving swallowing function, and feeding and daily function in patients with post-stroke dysphagia.

ChatGPT Research in Healthcare is Increasing Dramatically: A Bibliometric Analysis Based on VOSviewer.

The ChatGPT (Chat Generative Pretrained Transformer), an AI-based chatbot, has garnered significant attention in healthcare. We methodically extracted two significant English databases (PubMed and Web of Science) to examine the current state of research and potential future directions for ChatGPT in the healthcare field. Following screening, 921 publications were included in the analysis, demonstrating a sharp rise in the previous year and a peak number of publications released in October 2023.

Development of an Online Training System on Pulmonary Aspiration for Clinical Nurses.

Pulmonary aspiration is a particularly problematic condition in patients in hospitals and nursing home. To promote patient safety and prevent serious complications, the nurse's role in preventing and caring for patient at high risk of pulmonary aspiration is crucial. Our team has developed an online training system on pulmonary aspiration for nurses to improve their ability to identify early risk factors, scientifically assess the risk of aspiration, and effectively intervene and manage when pulmonary aspiration occurs.

Development of an Intelligent Health Education System Based on Large Language Model for Elderly Pulmonary Aspiration Prevention.

As the aging process accelerates, the incidence of chronic diseases in the elderly is rising. As a result, it is crucial to optimize health education for the elderly. Pulmonary aspiration and aspiration pneumonia are significant concerns endangering the health of the elderly.

Development of an Intelligent Risk Hierarchical Management System on Pulmonary Aspiration for the Elderly.

For the elderly, the risks associated with pulmonary aspiration are significant, and can severely impact their quality of life. Therefore, the management of pulmonary aspiration risk is crucial in promoting healthy aging, an aspect often overlooked in self-health management for the elderly. To enhance self-management of pulmonary aspiration risk among the elderly, we have organized a multidisciplinary team to develop an intelligent risk hierarchical management system on pulmonary aspiration for the elderly.

Efficacy of Robot-Assisted and Virtual Reality Interventions on Balance, Gait, and Daily Function in Patients With Stroke: A Systematic Review and Network Meta-analysis.

Objective: This study aimed to evaluate the comparative effectiveness and ranking of robot-assisted training, virtual reality, and robot-assisted rehabilitation combined with virtual reality in improving balance, gait, and daily function in patients with stroke.

Data Sources: PubMed, EMBASE, the Cochrane Library, Physiotherapy Evidence Database, CINAHL, Web of Science, and ProQuest Dissertations and Theses abstracting and indexing databases were comprehensively searched to include randomized controlled trials published through August 31, 2022.

Study Selection: Randomized controlled trials comparing robot-assisted training, virtual reality, robot-assisted rehabilitation combined with virtual reality, and conventional therapy to assess the effects on balance, gait, and daily function of patients with stroke.