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Keramati H, Lu X, Cabanag M, Wu L, Kushwaha V, Beier S. Applications and advances of immersive technology in cardiology. Curr Probl Cardiol 2024; 49:102762. [PMID: 39067719 DOI: 10.1016/j.cpcardiol.2024.102762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 07/23/2024] [Indexed: 07/30/2024]
Abstract
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.
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Affiliation(s)
- Hamed Keramati
- School of Mechanical and Manufacturing Engineering, Faculty of Engineering, The University of New South Wales, Sydney 2052, NSW, Australia.
| | - Xueqing Lu
- Learning and Digital Environments, Deputy Vice-Chancellor Education and Student Experience, The University of New South Wales, Sydney 2052, NSW, Australia
| | - Matt Cabanag
- School of Art and Design, Faculty of Arts, Design and Architecture, The University of New South Wales, Sydney 2052, NSW, Australia
| | - Liao Wu
- School of Mechanical and Manufacturing Engineering, Faculty of Engineering, The University of New South Wales, Sydney 2052, NSW, Australia
| | - Virag Kushwaha
- Eastern Heart Clinic, Prince of Wales Hospital, Barker Street Randwick, NSW 2031, Australia; Faculty of Medicine, The University of New South Wales, Kensington, Sydney 2033, NSW, Australia
| | - Susann Beier
- School of Mechanical and Manufacturing Engineering, Faculty of Engineering, The University of New South Wales, Sydney 2052, NSW, Australia
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Sun R, Wang Y, Wu Q, Wang S, Liu X, Wang P, He Y, Zheng H. Effectiveness of virtual and augmented reality for cardiopulmonary resuscitation training: a systematic review and meta-analysis. BMC MEDICAL EDUCATION 2024; 24:730. [PMID: 38970090 PMCID: PMC11227211 DOI: 10.1186/s12909-024-05720-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 06/27/2024] [Indexed: 07/07/2024]
Abstract
BACKGROUND Virtual reality (VR) and augmented reality (AR) are emerging technologies that can be used for cardiopulmonary resuscitation (CPR) training. Compared to traditional face-to-face training, VR/AR-based training has the potential to reach a wider audience, but there is debate regarding its effectiveness in improving CPR quality. Therefore, we conducted a meta-analysis to assess the effectiveness of VR/AR training compared with face-to-face training. METHODS We searched PubMed, Embase, Cochrane Library, Web of Science, CINAHL, China National Knowledge Infrastructure, and Wanfang databases from the inception of these databases up until December 1, 2023, for randomized controlled trials (RCTs) comparing VR- and AR-based CPR training to traditional face-to-face training. Cochrane's tool for assessing bias in RCTs was used to assess the methodological quality of the included studies. We pooled the data using a random-effects model with Review Manager 5.4, and assessed publication bias with Stata 11.0. RESULTS Nine RCTs (involving 855 participants) were included, of which three were of low risk of bias. Meta-analyses showed no significant differences between VR/AR-based CPR training and face-to-face CPR training in terms of chest compression depth (mean difference [MD], -0.66 mm; 95% confidence interval [CI], -6.34 to 5.02 mm; P = 0.82), chest compression rate (MD, 3.60 compressions per minute; 95% CI, -1.21 to 8.41 compressions per minute; P = 0.14), overall CPR performance score (standardized mean difference, -0.05; 95% CI, -0.93 to 0.83; P = 0.91), as well as the proportion of participants meeting CPR depth criteria (risk ratio [RR], 0.79; 95% CI, 0.53 to 1.18; P = 0.26) and rate criteria (RR, 0.99; 95% CI, 0.72 to 1.35; P = 0.93). The Egger regression test showed no evidence of publication bias. CONCLUSIONS Our study showed evidence that VR/AR-based training was as effective as traditional face-to-face CPR training. Nevertheless, there was substantial heterogeneity among the included studies, which reduced confidence in the findings. Future studies need to establish standardized VR/AR-based CPR training protocols, evaluate the cost-effectiveness of this approach, and assess its impact on actual CPR performance in real-life scenarios and patient outcomes. TRIAL REGISTRATION CRD42023482286.
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Affiliation(s)
- Rao Sun
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yixuan Wang
- School of Public Administration, Hubei University, Wuhan, China
| | - Qingya Wu
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shuo Wang
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xuan Liu
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Pei Wang
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yuqin He
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hua Zheng
- Department of Anesthesiology and Pain Medicine, Hubei Key Laboratory of Geriatric Anesthesia and Perioperative Brain Health, and Wuhan Clinical Research Center for Geriatric Anesthesia, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
- Department of Anesthesiology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, China.
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Guruswamy J, Chhina A, Mitchell JD, Shah S, Uribe-Marquez S. Virtual Reality and Augmented Reality in Anesthesiology Education. Int Anesthesiol Clin 2024; 62:64-70. [PMID: 38798152 DOI: 10.1097/aia.0000000000000445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Affiliation(s)
- Jayakar Guruswamy
- Department of Anesthesiology, Pain Management, and Perioperative Medicine, Henry Ford Health, Michigan State University, Detroit, Michigan
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Cheng A, Fijacko N, Lockey A, Greif R, Abelairas-Gomez C, Gosak L, Lin Y. Use of augmented and virtual reality in resuscitation training: A systematic review. Resusc Plus 2024; 18:100643. [PMID: 38681058 PMCID: PMC11053298 DOI: 10.1016/j.resplu.2024.100643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Revised: 04/04/2024] [Accepted: 04/06/2024] [Indexed: 05/01/2024] Open
Abstract
Objectives To evaluate the effectiveness of augmented reality (AR) and virtual reality (VR), compared with other instructional methods, for basic and advanced life support training. Methods This systematic review was part of the continuous evidence evaluation process of the International Liaison Committee on Resuscitation (ILCOR) and reported based on the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) guidelines and registered with PROSPERO (CRD42023376751). MEDLINE, EMBASE, and SCOPUS were searched from inception to January 16, 2024. We included all published studies comparing virtual or augmented reality to other methods of resuscitation training evaluating knowledge acquisition and retention, skills acquisition and retention, skill performance in real resuscitation, willingness to help, bystander CPR rate, and patients' survival. Results Our initial literature search identified 1807 citations. After removing duplicates, reviewing the titles and abstracts of the remaining 1301 articles, full text review of 74 articles and searching references lists of relevant articles, 19 studies were identified for analysis. AR was used in 4 studies to provide real-time feedback during CPR, demonstrating improved CPR performance compared to groups trained with no feedback, but no difference when compared to other sources of CPR feedback. VR use in resuscitation training was explored in 15 studies, with the majority of studies that assessed CPR skills favoring other interventions over VR, or showing no difference between groups. Conclusion Augmented and virtual reality can be used to support resuscitation training of lay people and healthcare professionals, however current evidence does not clearly demonstrate a consistent benefit when compared to other methods of training.
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Affiliation(s)
- Adam Cheng
- Department of Pediatrics and Emergency Medicine, Cumming School of Medicine, University of Calgary, KidSIM-ASPIRE Simulation Research Program, Alberta Children’s Hospital, Canada
| | - Nino Fijacko
- Faculty of Health Sciences, University of Maribor, Maribor University Medical Centre, Maribor, Slovenia
| | - Andrew Lockey
- Emergency Department, Calderdale & Huddersfield NHS Trust, Halifax, UK
- School of Human and Health Sciences, University of Huddersfield, Huddersfield, UK
| | - Robert Greif
- University of Bern, Bern, Switzerland
- School of Medicine, Sigmund Freud University Vienna, Vienna, Austria
| | - Cristian Abelairas-Gomez
- Faculty of Education Sciences and CLINURSID Research Group, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Simulation and Intensive Care Unit of Santiago (SICRUS) Research Group, Health Research Institute of Santiago, University Hospital of Santiago de Compostela-CHUS, Santiago de Compostela, Spain
| | - Lucija Gosak
- Faculty of Health Sciences, University of Maribor, Maribor, Slovenia
| | - Yiqun Lin
- KidSIM-ASPIRE Simulation Research Program, Alberta Children’s Hospital, University of Calgary, Canada
| | - the Education Implementation Team Task Force of the International Liaison Committee on Resuscitation (ILCOR)1
- Department of Pediatrics and Emergency Medicine, Cumming School of Medicine, University of Calgary, KidSIM-ASPIRE Simulation Research Program, Alberta Children’s Hospital, Canada
- Faculty of Health Sciences, University of Maribor, Maribor University Medical Centre, Maribor, Slovenia
- Emergency Department, Calderdale & Huddersfield NHS Trust, Halifax, UK
- School of Human and Health Sciences, University of Huddersfield, Huddersfield, UK
- University of Bern, Bern, Switzerland
- School of Medicine, Sigmund Freud University Vienna, Vienna, Austria
- Faculty of Education Sciences and CLINURSID Research Group, Universidade de Santiago de Compostela, Santiago de Compostela, Spain
- Simulation and Intensive Care Unit of Santiago (SICRUS) Research Group, Health Research Institute of Santiago, University Hospital of Santiago de Compostela-CHUS, Santiago de Compostela, Spain
- Faculty of Health Sciences, University of Maribor, Maribor, Slovenia
- KidSIM-ASPIRE Simulation Research Program, Alberta Children’s Hospital, University of Calgary, Canada
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Koivisto JM, Buure T, Engblom J, Rosqvist K, Haavisto E. Association between game metrics in a simulation game and nursing students' surgical nursing knowledge - a quasi-experimental study. BMC Nurs 2024; 23:16. [PMID: 38166830 PMCID: PMC10759537 DOI: 10.1186/s12912-023-01668-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Accepted: 12/14/2023] [Indexed: 01/05/2024] Open
Abstract
BACKGROUND Simulation games are effective for acquiring surgical nursing knowledge during education by offering possibilities to learn theoretical knowledge through practical patient scenarios, thus preparing students for demanding surgical nursing care. Game metrics stored in the game system enable assessment of students' behaviour while gameplaying. Combining game metrics with the assessment of a student's surgical nursing knowledge allows versatile information to be obtained about the student's learning outcomes. However, studies on game metrics stored in systems and their relationship with learning outcomes are scarce. METHODS The aim here was to evaluate the association between game metrics in a simulation game and nursing students' surgical nursing knowledge. Nursing students from three universities of applied sciences in Finland participated in a one-week simulation gameplaying intervention that included five surgical nursing scenarios. Students' surgical nursing knowledge was investigated with a quasi-experimental, one-group, pre- and post-test design using a surgical nursing knowledge test. In total, 280 students filled in the knowledge tests. In addition, cross-sectional game data were collected at a single time point between pre- and post-tests. The data were analysed with descriptive statistics and multivariate analysis methods. RESULTS Students' surgical nursing knowledge improved with the intervention. The total number of playthroughs was 3562. The mean maximum score was 126.2 (maximum score range 76-195). The mean playing time of all playthroughs by all players was 4.3 minutes (SD = 81.61). A statistically significant association was found between mean score and knowledge test total score (p < 0.0072), but no significant association emerged between mean playing time and knowledge test total score. CONCLUSION The results indicated that the higher the mean score the better the students' surgical nursing knowledge in the knowledge test. This study did not show that the time spent playing had an impact on students' post-playing knowledge. Our findings support the idea that game metrics can be used in performance evaluation and the results can be used to improve nursing students' readiness for challenging preoperative and postoperative clinical situations.
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Affiliation(s)
- Jaana-Maija Koivisto
- Faculty of Medicine, University of Helsinki, PO BOX 20, Tukholmankatu 8B, 00014, Helsinki, Finland.
| | - Tuija Buure
- Metropolia University of Applied Sciences, Myllypurontie 1, 00920 Helsinki PL 4000, 00079 Metropolia, Helsinki, Finland
| | - Janne Engblom
- Turku School of Economics, Department of Mathematics and Statistics, University of Turku, 20014, Turku, Finland
| | - Kristiina Rosqvist
- Department of Health Sciences, Tampere University, Arvo Ylpönkatu 34, 33520, Tampere, Finland
| | - Elina Haavisto
- Department of Health Sciences, Tampere University, Arvo Ylpönkatu 34, 33520, Tampere, Finland
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Seetohul J, Shafiee M, Sirlantzis K. Augmented Reality (AR) for Surgical Robotic and Autonomous Systems: State of the Art, Challenges, and Solutions. SENSORS (BASEL, SWITZERLAND) 2023; 23:6202. [PMID: 37448050 DOI: 10.3390/s23136202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 06/09/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023]
Abstract
Despite the substantial progress achieved in the development and integration of augmented reality (AR) in surgical robotic and autonomous systems (RAS), the center of focus in most devices remains on improving end-effector dexterity and precision, as well as improved access to minimally invasive surgeries. This paper aims to provide a systematic review of different types of state-of-the-art surgical robotic platforms while identifying areas for technological improvement. We associate specific control features, such as haptic feedback, sensory stimuli, and human-robot collaboration, with AR technology to perform complex surgical interventions for increased user perception of the augmented world. Current researchers in the field have, for long, faced innumerable issues with low accuracy in tool placement around complex trajectories, pose estimation, and difficulty in depth perception during two-dimensional medical imaging. A number of robots described in this review, such as Novarad and SpineAssist, are analyzed in terms of their hardware features, computer vision systems (such as deep learning algorithms), and the clinical relevance of the literature. We attempt to outline the shortcomings in current optimization algorithms for surgical robots (such as YOLO and LTSM) whilst providing mitigating solutions to internal tool-to-organ collision detection and image reconstruction. The accuracy of results in robot end-effector collisions and reduced occlusion remain promising within the scope of our research, validating the propositions made for the surgical clearance of ever-expanding AR technology in the future.
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Affiliation(s)
- Jenna Seetohul
- Mechanical Engineering Group, School of Engineering, University of Kent, Canterbury CT2 7NT, UK
| | - Mahmood Shafiee
- Mechanical Engineering Group, School of Engineering, University of Kent, Canterbury CT2 7NT, UK
- School of Mechanical Engineering Sciences, University of Surrey, Guildford GU2 7XH, UK
| | - Konstantinos Sirlantzis
- School of Engineering, Technology and Design, Canterbury Christ Church University, Canterbury CT1 1QU, UK
- Intelligent Interactions Group, School of Engineering, University of Kent, Canterbury CT2 7NT, UK
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Galindo Neto NM, Sá GGDM, Barros LM, Lima MMDS, Santos SMJD, Caetano JÁ. Effectiveness of educational video on deaf people's knowledge and skills for cardiopulmonary resuscitation: a randomized controlled trial. Rev Esc Enferm USP 2023; 57:e20220227. [PMID: 37216652 DOI: 10.1590/1980-220x-reeusp-2022-0227en] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 03/13/2023] [Indexed: 05/24/2023] Open
Abstract
OBJECTIVE To analyze the effectiveness of an educational video on deaf people's knowledge and skills about cardiopulmonary resuscitation. METHOD A randomized trial, carried out at three schools with 113 deaf people (control group = 57 and intervention group = 56). After the pre-test, the control group was exposed to the lecture, while the intervention group was exposed to the video. The post-test occurred immediately after the intervention and was repeated after 15 days. A validated instrument was used, with 11 questions, presented in video/Libras (to enable understanding by deaf people) and in written/printed form (to record the answers). RESULTS In the analysis of knowledge, the median of correct answers in the pre-test was similar between the groups (p = 0.635), while the intervention group had a higher accuracy in the immediate post-test (p = 0.035) and after 15 days (p = 0.026). In the skill analysis, the median of correct answers in the pre-test was higher in the control group (p = 0.031). There was no difference in the immediate post-test (p = 0.770), and there was a higher accuracy in the intervention group in the post-test after 15 days (p = 0.014). CONCLUSION The video proved to be effective in increasing deaf people's knowledge and skills about cardiopulmonary resuscitation. Brazilian Registry of Clinical Trials: RBR-5npmgj.
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Affiliation(s)
- Nelson Miguel Galindo Neto
- Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco, Departamento de Enfermagem, Pesqueira, PE, Brazil
| | - Guilherme Guarino de Moura Sá
- Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco, Departamento de Enfermagem, Belo Jardim, PE, Brazil
| | - Lívia Moreira Barros
- Universidade da Integração Internacional da Lusofonia Afro-Brasileira, Instituto de Ciências da Saúde, Redenção, CE, Brasil
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