A data-centric artificial intelligent and extended reality technology in smart healthcare systems

Defining the Criteria for Selecting the Right Extended Reality Systems in Healthcare Using Fuzzy Analytic Network Process

In the past decade, extended reality (XR) has been introduced into healthcare due to several potential benefits, such as scalability and cost savings. As there is no comprehensive study covering all the factors influencing the selection of an XR system in the healthcare and medical domain, a Decision Support System is proposed in this paper to identify and rank factors impacting the performance of XR in this domain from an engineering design perspective. The proposed system is built upon the Supply Chain Operations Reference (SCOR) model supported by a literature survey and experts' knowledge to extract and identify important factors. Subsequently, the factors are categorized into distinct categories, and their relative importance is specified by Analytic Network Process (ANP) models under a fuzzy environment. Two fuzzy approaches for the ANP models are compared, and the results are analyzed using statistical testing. The computational results show that the ranking agreement between the two fuzzy approaches is strong and corresponds to the fact that both approaches yield the same ranking of primary factors, highlighting the significance of reliability as the topmost factor, followed by responsiveness, cost, and agility. It is shown that while the top three important sub-factors are identical between the two approaches, their relative order is slightly varied. Safety is considered to be the most critical aspect within the reliability category in both approaches, but there are discrepancies in the rankings of accuracy and user control and freedom. Both approaches also consider warranty and depreciation costs as the least significant criteria.

Virtual reality-enhanced rehabilitation for improving musculoskeletal function and recovery after trauma

Orthopedic trauma remains a critical challenge in modern healthcare, often resulting in severe mobility limitations, acute pain, and delayed recovery. Conventional rehabilitation techniques, though effective, fail to address the individualized, high-precision interventions needed for musculoskeletal injuries like fractures, joint instability, ligament tears, and muscular atrophy. Virtual reality (VR) technologies, such as Apple Vision Pro and HTC Vive Pro, offer a transformative approach by enhancing diagnostic precision, rehabilitation effectiveness, and patient engagement through interactive, immersive environments that improve clinical outcomes. These VR technologies provide real-time biomechanical data, such as joint mechanics, muscle coordination, and movement patterns, allowing clinicians to design personalized rehabilitation programs. These technologies can thus facilitate neuromuscular re-education, improve muscle proprioception, and enhance muscle coordination. Studies have shown that VR-based rehabilitation advances functional recovery, improves pain management, and reduces psychological barriers associated with immobility. VR also facilitates telemedicine, increasing accessibility for patients with geographic or mobility issues. However, while VR may provide biomechanical data, it is important to note that they fall short in accurate motion tracking, particularly in fine motor control tasks. This scoping review follows PRISMA guidelines to explore the potential of VR in orthopedic rehabilitation, analyzing its diagnostic capabilities, personalized interventions, and real-time feedback systems. Despite this, barriers remain, including regulatory challenges, limitations in haptic feedback, high cost, and patient compliance. By presenting a balanced perspective on the landscape of VR in orthopedic care, this paper emphasizes the need for rigorous clinical validation, regulatory advancements, and interdisciplinary collaboration. Ultimately, VR offers the potential to significantly improve recovery outcomes, enhance patient engagement, and streamline rehabilitation protocols, but its successful integration into clinical practice must be approached with both optimism and caution.

Role of eXtended Reality use in medical imaging interpretation for pre-surgical planning and intraoperative augmentation

Purpose

eXtended Reality (XR) technology, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), is a growing field in healthcare. Each modality offers unique benefits and drawbacks for medical education, simulation, and clinical care. We review current studies to understand how XR technology uses medical imaging to enhance surgical diagnostics, planning, and performance. We also highlight current limitations and future directions.

Approach

We reviewed the literature on immersive XR technologies for surgical planning and intraoperative augmentation, excluding studies on telemedicine and 2D video-based training. We cited publications highlighting XR's advantages and limitations in these categories.

Results

A review of 556 papers on XR for medical imaging in surgery yielded 155 relevant papers reviewed utilizing the aid of chatGPT. XR technology may improve procedural times, reduce errors, and enhance surgical workflows. It aids in preoperative planning, surgical navigation, and real-time data integration, improving surgeon ergonomics and enabling remote collaboration. However, adoption faces challenges such as high costs, infrastructure needs, and regulatory hurdles. Despite these, XR shows significant potential in advancing surgical care.

Conclusions

Immersive technologies in healthcare enhance visualization and understanding of medical conditions, promising better patient outcomes and innovative treatments but face adoption challenges such as cost, technological constraints, and regulatory hurdles. Addressing these requires strategic collaborations and improvements in image quality, hardware, integration, and training.

Assessing the knowledge, attitude and perception of Extended Reality (XR) technology in Pakistan's Healthcare community in an era of Artificial Intelligence

BACKGROUND AND OBJECTIVES

The Extended Reality (XR) technology was established by combining elements of Virtual Reality and Augmented Reality, offering users the advantage of working in a virtual environment. The study aimed to evaluate medical professionals' and students' knowledge, attitudes, and practices regarding using XR technology in Pakistan's healthcare system and identify its benefits, drawbacks, and implications for the system's future.

METHODOLOGY

A cross-sectional study was executed by circulating a self-structured online questionnaire among the Medical Community across Major Cities of Pakistan using various social media platforms as available sampling. The sample size was calculated to be 385 using RAOSOFT. Cronbach's alpha was calculated as 0.74. The Exploratory Factor Analysis (EFA) conducted on the dataset was validated using the Kaiser-Meyer-Olkin (KMO) measure and Bartlett's Test of Sphericity. The KMO value of 0.752 indicates adequate sampling, and Bartlett's Test was significant (χ2 (435) = 2809.772, p < 0.001), confirming the suitability of the data for factor analysis. Statistical analysis was done using SPSS-25, and data description was done as frequency and percentage. Pearson correlation and regression analysis kept p-value < 0.05% significant.

RESULTS

Approximately 54.8% of 406 participants conveyed their familiarity with XR technologies. The majority of participants (83.8%) believed that using XR technology effectively enhanced medical education and patient care in Pakistan. Regarding clinical outcomes, 70.8% believed XR improved the efficiency of procedures and 52.8% agreed XR would lead to more device-dependent systems and eradicating human error (32.4%). Major barriers to XR integration included ethical and privacy issues (63.9%), lack of technological advancements in Pakistan (70%), and lack of ample knowledge and training of XR among health care professionals (45.8%). Hypothesis testing revealed a low positive but significant correlation between the use of AI-based healthcare systems and the increasing speed and accuracy of procedures (r = 0.342, p < 0.001), supporting Hypothesis 1. Similarly, a very low positive yet significant correlation was observed between the augmentation of diagnostic and surgical procedures and addressing data security and ethical issues for implementing XR (r = 0.298, p < 0.001), supporting Hypothesis 2. Lastly, a correlation between the mean Attitude (MA) score and the mean Perception (MP) score was found to be moderately positive and significant (r = 0.356, p < 0.001). Hence, the hypothesis 3 was supported.

CONCLUSION

XR technology has the potential to enhance medical education and patient care in Pakistan, but its adoption faces significant challenges, including ethical concerns, technological gaps, and inadequate training. The study's findings highlight the need to address these issues to maximize the benefits of XR in healthcare.

Role of augmented reality and virtual reality from the Indian healthcare education perspective - A systematic review

Augmented reality (AR) and virtual reality (VR), are upcoming technologies with considerable potential to revolutionizing healthcare education, enhancing patient safety, and improving healthcare quality particularly in the Indian context. This review is conducted to view the current scenario of Indian context considering the impact of COVID-19. The current systematic review study was done following PRISMA 2020 guidelines using the key terms "Augmented Reality," "Virtual Reality," "Healthcare," and "India." Only the PubMed database was selected based on its reputation and authenticity, which is the only limitation of this study and strength. Both qualitative and quantitative methods are used for synthesis of results. In Indian context, 12 (1.7%) and 36 (2.2%) articles related to AR and VR were found, respectively. Six abstracts could not be retrieved, and after screening abstracts, three were found not suitable in VR and eight were found duplicate. A total of 30 articles were considered for this review. 18 (50%) were original, 12 (33.3%) were review, and 6 (16.7%) were other articles. 03 (8.3%), 21 (58.3%), and 12 (33.3%) articles were related to AR, VR, and both AR and VR, respectively. Considering the single database search and six unretrievable abstract, AR, VR, mixed reality (MR), soft e-skin, and extended reality (XR) technologies have the potential to revolutionize healthcare education and training, reducing real-life errors and improving patient safety. Although the Indian healthcare sector only contributes 1.7-2.2% to PubMed publications related to AR and VR.. The review was not registered.

XR and mental wellbeing: state of the art and future research directions for the Metaverse

Introduction

The purpose of this study is to provide an overview of extant research regarding XR technology and its effect on consumer wellbeing. With the hopes of informing marketing practitioners on XR consumer psychology, in preparation for the Metaverse.

Methods

To achieve the above aim, two types of analysis took place. Firstly, a bibliometric analysis was conducted which was then followed by a framework-based structured literature review. The latter entailed an analysis of 81 articles evaluated from a positive psychological approach.

Findings

Following the TCCM framework, the analysis revealed the most common psychological theories demonstrating potential avenues for XR to impact consumer wellbeing. Moreover, researchers found preliminary links between, theory, characteristics, and contexts. Giving a preliminary description of how theory manifests into reality. Finally, the overview of extant literature was used to propose new avenues for future research pertaining to marketing, the Metaverse, and consumer effects.

Conclusion

In conclusion, the paper provides stakeholder insights which can ensure minimal consumer risk and sustainable use of the XR technology and Metaverse. While addressing the need for more research that uncovers the psychological effects of emerging technologies, so to prepare for the Metaverse. This is especially important when considering the current upsurge of these technologies and the uncertainties associated with their novelty and the idea of an 'always on' consumer.

Research on the construction of information-based nursing quality control system based on deep learning model under the lean perspective

OBJECTIVE

In order to improve nursing quality management and protect patient medical safety, it is necessary to change the default mode and completely integrate information technology and nursing quality control utilising lean management.

METHODS

A database was created, the nurse quality control scoring standard was entered into the computer and after the inspection, and various inspection reports were entered into the computer to precisely and promptly preserve data. The computer was then utilised to precisely assess the intensity and quality of nursing work, compute, count, and analyse the stored data, output the quality of nursing work in each department as a report, and adopt lean management for the gathered issues.

RESULTS

To reach the objective of raising nursing quality, data analysis makes it simple to identify flaws and consistently strengthen the weak points. In order to create an information-based nursing quality control system with a simple and effective method as well as results that are scientific and objective, lean management is brought into the construction process.

Topical Cellular/Tissue and Molecular Aspects Regarding Nonpharmacological Interventions in Alzheimer's Disease-A Systematic Review

One of the most complex and challenging developments at the beginning of the third millennium is the alarming increase in demographic aging, mainly-but not exclusively-affecting developed countries. This reality results in one of the harsh medical, social, and economic consequences: the continuously increasing number of people with dementia, including Alzheimer's disease (AD), which accounts for up to 80% of all such types of pathology. Its large and progressive disabling potential, which eventually leads to death, therefore represents an important public health matter, especially because there is no known cure for this disease. Consequently, periodic reappraisals of different therapeutic possibilities are necessary. For this purpose, we conducted this systematic literature review investigating nonpharmacological interventions for AD, including their currently known cellular and molecular action bases. This endeavor was based on the PRISMA method, by which we selected 116 eligible articles published during the last year. Because of the unfortunate lack of effective treatments for AD, it is necessary to enhance efforts toward identifying and improving various therapeutic and rehabilitative approaches, as well as related prophylactic measures.

The Progress of Smart Elderly Care Research: A Scientometric Analysis Based on CNKI and WOS

To reduce the burden caused by an increased elderly population and to provide efficient service resources, scholars worldwide have proposed and applied smart elderly care. This paper summarizes the hotspots of the existing literature and explores the research frontiers to ignite future research. CiteSpace software was used to conduct a scientometric analysis of high-quality literature collected from both the China National Knowledge Infrastructure (CNKI) and the Web of Science (WOS). Based on the results of the basic situation description, this article highlights six research hotspots in CNKI and 11 research themes in WOS. In addition, it offers three major evolution stages and three future research directions for smart elderly care research. This paper provides a holistic overview of the smart elderly care literature from two major global databases. The results will contribute to healthcare policy designers, practitioners, and developers by giving them comprehensive knowledge and generating strategies to enhance elderly people's quality of life.