Comprehensive Analysis of Augmented Reality Technology in Modern Healthcare System

The recent advances of Augmented Reality (AR) in healthcare have shown that technology is a significant part of the current healthcare system. In recent days, augmented reality has proposed numerous intelligent applications in the healthcare domain including, wearable access, telemedicine, remote su...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2021, Vol.12 (6)
Main Authors: Ara, Jinat, Karim, Faria Benta, Alsubaie, Mohammed Saud A, Bhuiyan, Yeasin Arafat, Bhuiyan, Muhammad Ismail, Bhyan, Salma Begum, Bhuiyan, Hanif
Format: Article
Language:English
Subjects:
Artificial intelligence
Augmented reality
Data transmission
Emergency medical services
Health care
Interception
Maintenance costs
Security
Telesurgery
User satisfaction
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Summary:The recent advances of Augmented Reality (AR) in healthcare have shown that technology is a significant part of the current healthcare system. In recent days, augmented reality has proposed numerous intelligent applications in the healthcare domain including, wearable access, telemedicine, remote surgery, diagnosis of medical reports, emergency medicine, etc. These developed augmented healthcare applications aim to improve patient care, increase efficiency, and decrease costs. Therefore, to identify the advances of AR-based healthcare applications, this article puts on an effort to perform an analysis of 45 peer-reviewed journal and conference articles from scholarly databases between 2011 and 2020. It also addresses concurrent concerns and their relevant future challenges including, user satisfaction, convenient prototypes, service availability, maintenance cost, etc. Despite the development of several AR healthcare applications, there are some untapped potentials regarding secure data trans-mission, which is an important factor for advancing this cutting-edge technology. Therefore, this paper also analyzes distinct AR security and privacy including, security requirements (i.e., scalability, confidentiality, integrity, resiliency, etc.) and attack terminologies (i.e. sniffing, fabrication, modification, interception, etc.). Based on the security issues, in this paper, we propose an artificial intelligence-based dynamic solution to build an intelligent security model to minimize data security risks. This intelligent model can identify seen and unseen threats in the threat detection layer and thus can protect data during data transmission. In addition, it prevents external attacks in the threat elimination layer using threat reduction mechanisms.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2021.0120698