医疗保健应用的创新沉浸式技术综述

Zhonglin Qu, Chng Wei Lau, S. Simoff, Paul J. Kennedy, Quang Vinh Nguyen, D. Catchpoole
{"title":"医疗保健应用的创新沉浸式技术综述","authors":"Zhonglin Qu, Chng Wei Lau, S. Simoff, Paul J. Kennedy, Quang Vinh Nguyen, D. Catchpoole","doi":"10.36401/iddb-21-04","DOIUrl":null,"url":null,"abstract":"\n Immersive technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), can connect people using enhanced data visualizations to better involve stakeholders as integral members of the process. Immersive technologies have started to change the research on multidimensional genomic data analysis for disease diagnostics and treatments. Immersive technologies are highlighted in some research for health and clinical needs, especially for precision medicine innovation. The use of immersive technology for genomic data analysis has recently received attention from the research community. Genomic data analytics research seeks to integrate immersive technologies to build more natural human-computer interactions that allow better perception engagements. Immersive technologies, especially VR, help humans perceive the digital world as real and give learning output with lower performance errors and higher accuracy. However, there are limited reviews about immersive technologies used in healthcare and genomic data analysis with specific digital health applications. This paper contributes a comprehensive review of using immersive technologies for digital health applications, including patient-centric applications, medical domain education, and data analysis, especially genomic data visual analytics. We highlight the evolution of a visual analysis using VR as a case study for how immersive technologies step, can by step, move into the genomic data analysis domain. The discussion and conclusion summarize the current immersive technology applications' usability, innovation, and future work in the healthcare domain, and digital health data visual analytics.","PeriodicalId":331225,"journal":{"name":"Innovations in Digital Health, Diagnostics, and Biomarkers","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Review of Innovative Immersive Technologies for Healthcare Applications\",\"authors\":\"Zhonglin Qu, Chng Wei Lau, S. Simoff, Paul J. Kennedy, Quang Vinh Nguyen, D. Catchpoole\",\"doi\":\"10.36401/iddb-21-04\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Immersive technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), can connect people using enhanced data visualizations to better involve stakeholders as integral members of the process. Immersive technologies have started to change the research on multidimensional genomic data analysis for disease diagnostics and treatments. Immersive technologies are highlighted in some research for health and clinical needs, especially for precision medicine innovation. The use of immersive technology for genomic data analysis has recently received attention from the research community. Genomic data analytics research seeks to integrate immersive technologies to build more natural human-computer interactions that allow better perception engagements. Immersive technologies, especially VR, help humans perceive the digital world as real and give learning output with lower performance errors and higher accuracy. However, there are limited reviews about immersive technologies used in healthcare and genomic data analysis with specific digital health applications. This paper contributes a comprehensive review of using immersive technologies for digital health applications, including patient-centric applications, medical domain education, and data analysis, especially genomic data visual analytics. We highlight the evolution of a visual analysis using VR as a case study for how immersive technologies step, can by step, move into the genomic data analysis domain. The discussion and conclusion summarize the current immersive technology applications' usability, innovation, and future work in the healthcare domain, and digital health data visual analytics.\",\"PeriodicalId\":331225,\"journal\":{\"name\":\"Innovations in Digital Health, Diagnostics, and Biomarkers\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Innovations in Digital Health, Diagnostics, and Biomarkers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.36401/iddb-21-04\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Innovations in Digital Health, Diagnostics, and Biomarkers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.36401/iddb-21-04","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

包括虚拟现实(VR)、增强现实(AR)和混合现实(MR)在内的沉浸式技术可以使用增强的数据可视化将人们联系起来,从而更好地让利益相关者作为流程的组成部分参与进来。沉浸式技术已经开始改变疾病诊断和治疗的多维基因组数据分析研究。沉浸式技术在一些健康和临床需求的研究中得到了重视,特别是在精准医学创新方面。利用沉浸式技术进行基因组数据分析最近受到了研究界的关注。基因组数据分析研究旨在整合沉浸式技术,以建立更自然的人机交互,从而实现更好的感知参与。沉浸式技术,尤其是虚拟现实技术,可以帮助人类感知真实的数字世界,并提供更低性能误差和更高精度的学习输出。然而,关于沉浸式技术在医疗保健和特定数字健康应用的基因组数据分析中的应用的评论有限。本文全面回顾了沉浸式技术在数字健康应用中的应用,包括以患者为中心的应用、医学领域教育和数据分析,特别是基因组数据可视化分析。我们强调了视觉分析的演变,使用VR作为一个案例研究,沉浸式技术如何一步一步地进入基因组数据分析领域。讨论和结论总结了当前沉浸式技术应用在医疗保健领域的可用性、创新性和未来工作,以及数字健康数据可视化分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of Innovative Immersive Technologies for Healthcare Applications
Immersive technologies, including virtual reality (VR), augmented reality (AR), and mixed reality (MR), can connect people using enhanced data visualizations to better involve stakeholders as integral members of the process. Immersive technologies have started to change the research on multidimensional genomic data analysis for disease diagnostics and treatments. Immersive technologies are highlighted in some research for health and clinical needs, especially for precision medicine innovation. The use of immersive technology for genomic data analysis has recently received attention from the research community. Genomic data analytics research seeks to integrate immersive technologies to build more natural human-computer interactions that allow better perception engagements. Immersive technologies, especially VR, help humans perceive the digital world as real and give learning output with lower performance errors and higher accuracy. However, there are limited reviews about immersive technologies used in healthcare and genomic data analysis with specific digital health applications. This paper contributes a comprehensive review of using immersive technologies for digital health applications, including patient-centric applications, medical domain education, and data analysis, especially genomic data visual analytics. We highlight the evolution of a visual analysis using VR as a case study for how immersive technologies step, can by step, move into the genomic data analysis domain. The discussion and conclusion summarize the current immersive technology applications' usability, innovation, and future work in the healthcare domain, and digital health data visual analytics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信