The landscape of human memory and event cognition research has witnessed a transformative journey toward the use of naturalistic contexts and tasks. In this review, we track this progression from abrupt, artificial stimuli used in extensively controlled laboratory experiments to more naturalistic tasks and stimuli that present a more faithful representation of the real world. We argue that in order to improve ecological validity, naturalistic study designs must consider the complexity of the cognitive phenomenon being studied. Then, we review the current state of \"naturalistic\" event segmentation studies and critically assess frequently employed movie stimuli. We evaluate recently developed tools like lifelogging and other extended reality technologies to help address the challenges we identified with existing naturalistic approaches. We conclude by offering some guidelines that can be used to design ecologically valid cognitive neuroscience studies of memory and event cognition.

This study explored the use of forearm electromyography data to distinguish eight hand gestures. The neural network (NN) and random forest (RF) algorithms were tested on data from 10 participants. As window sizes increase from 200 ms to 1000 ms, the algorithm accuracies increased with RF from 85% to 97% due to the increased temporal resolution. It was also noticed that the RF performed better with an accuracy of 85% than the NN with accuracy 80% when the temporal resolution was smaller, indicating the RF will be efficient when quick-response time is important. As the window size increases, the NN showed higher performance, suggesting that NN will be useful when higher accuracy is required. Future studies should increase the sample size, include more hand gestures, use different feature extraction methods and test different algorithms to improve the accuracy and efficiency of the system.

Educators are witnessing the unfolding of the era of artificial intelligence, raising the question of how to transfer the benefits of yesterday\'s pedagogy to the future of education. An interactive digital mind map of infectious diseases was developed for second-year medical students (n = 865). Analysis of user engagement showed global distribution with 498 QR scans on a single day. Student responses (n = 79, 9.1% response rate) indicated positive feedback on the resources of Extremely Satisfied (range 65-75%, n = 59-51). The findings of the study support further expansion of MedMicroMaps to cross-platform interfaces with adaptations for diverse audiences within allied health fields.
UNASSIGNED: The online version contains supplementary material available at 10.1007/s40670-024-02047-3.

Different forms of immersive technology, such as Virtual Reality (VR) and Augmented Reality (AR), are getting increasingly invested in medicine. Advances in head-mounted display technology, processing, and rendering power have demonstrated the increasing utility of immersive technology in medicine and the healthcare environment. There are a growing number of publications on using immersive technology in cardiology. We reviewed the articles published within the last decade that reported case studies or research that uses or investigates the application of immersive technology in the broad field of cardiology - from education to preoperative planning and intraoperative guidance. We summarized the advantages and disadvantages of using AR and VR for various application categories. Our review highlights the need for a robust assessment of the effectiveness of the methods and discusses the technical limitations that hinder the complete integration of AR and VR in cardiology, including cost-effectiveness and regulatory compliance. Despite the limitations and gaps that have inhibited us from benefiting from immersive technologies\' full potential in cardiology settings to date, its promising, impactful future for standard cardiovascular care is undoubted.

BACKGROUND: Mental health disorders are the leading cause of health-related problems worldwide. It is projected that mental health disorders will be the leading cause of morbidity among adults as the incidence rates of anxiety and depression grow worldwide. Recently, \"extended reality\" (XR), a general term covering virtual reality (VR), augmented reality (AR), and mixed reality (MR), is paving the way for the delivery of mental health care.
OBJECTIVE: We aimed to investigate the adoption and implementation of XR technology used in interventions for mental disorders and to provide statistical analyses of the design, usage, and effectiveness of XR technology for mental health interventions with a worldwide demographic focus.
METHODS: In this paper, we conducted a scoping review of the development and application of XR in the area of mental disorders. We performed a database search to identify relevant studies indexed in Google Scholar, PubMed, and the ACM Digital Library. A search period between August 2016 and December 2023 was defined to select papers related to the usage of VR, AR, and MR in a mental health context. The database search was performed with predefined queries, and a total of 831 papers were identified. Ten papers were identified through professional recommendation. Inclusion and exclusion criteria were designed and applied to ensure that only relevant studies were included in the literature review.
RESULTS: We identified a total of 85 studies from 27 countries worldwide that used different types of VR, AR, and MR techniques for managing 14 types of mental disorders. By performing data analysis, we found that most of the studies focused on high-income countries, such as the United States (n=14, 16.47%) and Germany (n=12, 14.12%). None of the studies were for African countries. The majority of papers reported that XR techniques lead to a significant reduction in symptoms of anxiety or depression. The majority of studies were published in 2021 (n=26, 30.59%). This could indicate that mental disorder intervention received higher attention when COVID-19 emerged. Most studies (n=65, 76.47%) focused on a population in the age range of 18-65 years, while few studies (n=2, 3.35%) focused on teenagers (ie, subjects in the age range of 10-19 years). In addition, more studies were conducted experimentally (n=67, 78.82%) rather than by using analytical and modeling approaches (n=8, 9.41%). This shows that there is a rapid development of XR technology for mental health care. Furthermore, these studies showed that XR technology can effectively be used for evaluating mental disorders in a similar or better way that conventional approaches.
CONCLUSIONS: In this scoping review, we studied the adoption and implementation of XR technology for mental disorder care. Our review shows that XR treatment yields high patient satisfaction, and follow-up assessments show significant improvement with large effect sizes. Moreover, the studies adopted unique designs that were set up to record and analyze the symptoms reported by their participants. This review may aid future research and development of various XR mechanisms for differentiated mental disorder procedures.

OBJECTIVE: This study examined whether educational methods utilizing extended reality (XR) improve pre-registration nursing students\' knowledge, skills, confidence, and satisfaction compared with traditional methods.
METHODS: We conducted a systematic review and meta-analysis of the effectiveness of XR in nursing education based on the Cochrane methodology.
METHODS: Randomized controlled trials (RCTs) were searched in MEDLINE, CINAHL, ERIC, Web of Science, Cochrane Central Register of Controlled Trials, and Igaku Chuo Zasshi from inception of each database to March 21, 2024.
METHODS: Two authors independently screened study titles and abstracts to identify potentially relevant studies. Subsequently, two reviewers independently assessed the eligibility of the studies based on full-text reviews and extracted the data. They calculated the pooled effect estimates associated with pre-registration nursing students\' knowledge and skills, confidence, and satisfaction using a random-effects meta-analytic model.
RESULTS: Among the 1615 records identified, 128 studies were identified. Following full-text evaluation, 38 studies were included in the systematic review. The meta-analysis included 34 studies. XR had significant positive effects on knowledge (N = 1926, standard mean difference [SMD] = 0.55, 95 % confidence interval [CI]: 0.34 to 0.77), skills (N = 904, SMD = 1.00, 95 % CI: 0.46 to 1.54), and satisfaction (N = 574, SMD = 1.19, 95 % CI: 0.09 to 2.30). In particular, immersive virtual reality (VR) had significant positive effects on knowledge (N = 707, SMD = 0.60, 95%CI: 0.36 to 0.83), skills (N = 302, SMD = 1.60, 95%CI: 0.70 to 2.50), and satisfaction (N = 406; SMD = 1.63, 95%CI: 0.04 to 3.22).
CONCLUSIONS: XR may be a viable teaching strategy for improving knowledge, skills, and satisfaction acquisition. In particular, immersive VR improves knowledge, skills, and satisfaction. XR could not be a direct replacement for traditional methods but can complement pre-registration nursing students\' traditional education methods.

BACKGROUND: The adoption of immersive technology in simulation-based nursing education has grown significantly, offering a solution to resource limitations and enabling safe access to clinical environments. Despite its advantages, there are still diverse reports regarding the effectiveness of immersive technology. It is crucial to verify the effectiveness of immersive technology in nursing education to inform future educational programs.
OBJECTIVE: This systematic review aimed to identify the contents of immersive technology-based education for undergraduate nursing students and evaluate the effectiveness of immersive technology compared to traditional teaching methods.
METHODS: A literature search was performed using 4 databases: PubMed, CINAHL, Embase, and Web of Science; the latest search was completed on January 19, 2023. The inclusion criteria were as follows: participants were undergraduate nursing students; studies were published in Korean or English; designs included randomized controlled trials (RCTs) or nonrandomized studies; and interventions involved virtual reality (VR), augmented reality (AR), mixed reality, or extended reality. Quality assessment was conducted using Cochrane Risk-of-Bias Tool version 2 for RCTs and the Risk-of-Bias Assessment Tool for Nonrandomized Studies. The main outcomes of the included studies were classified according to the New World Kirkpatrick Model (NWKM), ranging from level 1 (reaction) to level 4 (results). Meta-analysis was conducted using RevMan 5.4 software, and subgroup analysis was conducted due to heterogeneity of the results of the meta-analysis. The Grading of Recommendations, Assessment, Development, and Evaluation approach was adopted for assessing certainty and synthesizing results of the relevant literature.
RESULTS: A total of 23 studies were included, with participant numbers ranging from 33 to 289. Of these, 19 (82.6%) studies adopted VR to simulate various nursing scenarios, including disaster training, resuscitation, health assessments, and home health care; 4 (17.4%) studies used AR technologies; and 15 (65.2%) studies involved virtual patients in their scenarios. Based on the NWKM, the main outcome variables were classified as level 1 (usability and satisfaction), level 2 (knowledge, motivation, confidence, performance, attitude, and self-efficacy), and level 3 (clinical reasoning); level 4 outcomes were not found in the selected studies. Results of the subgroup analysis showed that immersive technology-based nursing education is more effective than traditional education in knowledge attainment (standard mean difference [SMD]=0.59, 95% CI 0.28-0.90, P<.001, I2=49%). Additionally, there were significant difference differences between the experimental and control group in confidence (SMD=0.70, 95% CI 0.05-1.35, P=.03, I2=82%) and self-efficacy (SMD=0.86, 95% CI 0.42-1.30, P<.001, I2=63%).
CONCLUSIONS: These findings support the effectiveness of immersive technology-based education for undergraduate nursing students, despite heterogeneity in methods and interventions. We suggest that long-term cohort studies be conducted to evaluate the effects of immersive technology-based nursing education on NWKM level 4.

OBJECTIVE: Patients with total knee arthroplasty (TKA) often suffer from severe postoperative pain, which seriously hinders postoperative rehabilitation. Extended reality (XR), including virtual reality, augmented reality, and mixed reality, has been increasingly used to relieve pain after TKA. The purpose of this study was to evaluate the effectiveness of XR on relieving pain after TKA.
METHODS: The electronic databases including PubMed, Embase, Web of Science, Cochrane Central Register of Controlled Trials (CENTRAL), and clinicaltrials.gov were searched for studies from inception to July 20, 2023. The outcomes were pain score, anxiety score, and physiological parameters related to pain. Meta-analysis was performed using the Review Manager 5.4 software.
RESULTS: Overall, 11 randomized control trials (RCTs) with 887 patients were included. The pooled results showed XR had lower pain scores (SMD = - 0.31, 95% CI [- 0.46 to - 0.16], P < 0.0001) and anxiety scores (MD = - 3.95, 95% CI [- 7.76 to - 0.13], P = 0.04) than conventional methods. The subgroup analysis revealed XR had lower pain scores within 2 weeks postoperatively (SMD = - 0.49, 95% CI [- 0.76 to - 0.22], P = 0.0004) and XR had lower pain scores when applying XR combined with conventional methods (SMD = - 0.43, 95% CI [- 0.65 to - 0.20], P = 0.0002).
CONCLUSIONS: This systematic review and meta-analysis found applying XR could significantly reduce postoperative pain and anxiety after TKA. When XR was combined with conventional methods, postoperative pain can be effectively relieved, especially within 2 weeks after the operation. XR is an effective non-pharmacological analgesia scheme.

OBJECTIVE: Virtual reality (VR) and augmented reality (AR) are innovative technologies that have a wide range of potential applications in the health care industry. The aim of this study was to investigate the body of research on AR and VR applications in rhinology by performing a scoping review.
METHODS: PubMed, Scopus, and Embase.
METHODS: According to PRISM-ScR guidelines, a scoping review of literature on the application of AR and/or VR in the context of Rhinology was conducted using PubMed, Scopus, and Embase.
RESULTS: Forty-nine articles from 1996 to 2023 met the criteria for review. Five broad types of AR and/or VR applications were found: preoperative, intraoperative, training/education, feasibility, and technical. The subsequent clinical domains were recognized: craniovertebral surgery, nasal endoscopy, transsphenoidal surgery, skull base surgery, endoscopic sinus surgery, and sinonasal malignancies.
CONCLUSIONS: AR and VR have comprehensive applications in Rhinology. AR for surgical navigation may have the most emerging potential in skull base surgery and endoscopic sinus surgery. VR can be utilized as an engaging training tool for surgeons and residents and as a distraction analgesia for patients undergoing office-based procedures. Additional research is essential to further understand the tangible effects of these technologies on measurable clinical results. Laryngoscope, 2024.

3D data from high-resolution volumetric imaging is a central resource for diagnosis and treatment in modern medicine. While the fast development of AI enhances imaging and analysis, commonly used visualization methods lag far behind. Recent research used extended reality (XR) for perceiving 3D images with visual depth perception and touch but used restrictive haptic devices. While unrestricted touch benefits volumetric data examination, implementing natural haptic interaction with XR is challenging. The research question is whether a multisensory XR application with intuitive haptic interaction adds value and should be pursued. In a study, 24 experts for biomedical images in research and medicine explored 3D medical shapes with 3 applications: a multisensory virtual reality (VR) prototype using haptic gloves, a simple VR prototype using controllers, and a standard PC application. Results of standardized questionnaires showed no significant differences between all application types regarding usability and no significant difference between both VR applications regarding presence. Participants agreed to statements that VR visualizations provide better depth information, using the hands instead of controllers simplifies data exploration, the multisensory VR prototype allows intuitive data exploration, and it is beneficial over traditional data examination methods. While most participants mentioned manual interaction as the best aspect, they also found it the most improvable. We conclude that a multisensory XR application with improved manual interaction adds value for volumetric biomedical data examination. We will proceed with our open-source research project ISH3DE (Intuitive Stereoptic Haptic 3D Data Exploration) to serve medical education, therapeutic decisions, surgery preparations, or research data analysis.