Review of Innovative Immersive Technologies for Healthcare Applications

Author:

Qu Zhonglin1ORCID,Lau Chng Wei1,Simoff Simeon J.12,Kennedy Paul J.3ORCID,Nguyen Quang Vinh12,Catchpoole Daniel R.45ORCID

Affiliation:

1. School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, Australia

2. MARCS Institute, Western Sydney University, Sydney, Australia

3. Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology Sydney, Sydney, New South Wales, Australia

4. The Tumour Bank, Children's Cancer Research Unit, Kids Research, The Children's Hospital at Westmead, Australia

5. Australian Artificial Intelligence Institute, Faculty of Information Technology, The University of Technology Sydney, Australia

Abstract

ABSTRACT 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.

Publisher

Innovative Healthcare Institute

Subject

General Medicine

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