scholarly journals Sculpting the future of medical data visualization

2018 ◽  
Vol 8 (S1) ◽  
pp. S212-S216 ◽  
Author(s):  
Justus Harris
2022 ◽  
pp. 132-141
Author(s):  
Anmol Bagaria ◽  
Sonal Mahilkar ◽  
Subash C. Sonkar

The skill of visual reality has matured, and VR and AR are increasingly being used in educational and surgical settings. The development of virtual reality technologies allows users to mix medical knowledge, medical data, and graphical data. It can provide more precise information, allowing users to increase their safety and reduce their risk. Virtual reality (VR) or augmented reality (AR) simulators that provide direct feedback and objective evaluation could be a useful tool in dental education in the future. Not only has it been applied to education, but it has also been created in therapeutic therapy. The authors believe that in the future VR and AR training and teaching will be extended and used in every aspect of dentistry, enabling students to develop their abilities on their own. In comparison to augmented reality, virtual reality offers a far more immersive experience. It would establish a trusting relationship between patients and doctors based on the experience of the dentists and the use of different hardware and software.


2005 ◽  
Author(s):  
Seungwan Kim ◽  
Deokgyu Park ◽  
Oubong Gwun ◽  
Kun Lee

2016 ◽  
Vol 59 (2) ◽  
pp. 42-55 ◽  
Author(s):  
ADAM RABINOWITZ ◽  
RYAN SHAW ◽  
SARAH BUCHANAN ◽  
PATRICK GOLDEN ◽  
ERIC KANSA

Abstract The PeriodO project seeks to fill a gap in the landscape of digital antiquity through the creation of a Linked Data gazetteer of period definitions that transparently record the spatial and temporal boundaries assigned to a given period by an authoritative source. Our presentation of the PeriodO gazetteer is prefaced by a history of the role of periodization in the study of the past, and an analysis of the difficulties created by the use of periods for both digital data visualization and integration. This is followed by an overview of the PeriodO data model, a description of the platform's architecture, and a discussion of the future direction of the project.


2017 ◽  
Vol 37 (1) ◽  
pp. 413-438 ◽  
Author(s):  
K. Lawonn ◽  
N.N. Smit ◽  
K. Bühler ◽  
B. Preim

Author(s):  
Hela Ltifi ◽  
Mounir Ben Ayed ◽  
Ghada Trabelsi ◽  
Adel M. Alimi

Increasing the improvement of confidence and comprehensibility of medical data as well as the possibility of using the human capacities in medical pattern recognition is a significant interest for the coming years. In this context, we have created a visual knowledge discovery from databases application. It has been developed to efficiently and accurately understand a large collection of fixed and temporal patients’ data in the Intensive Care Unit in order to prevent the nosocomial infection occurrence. It is based on data visualization technique which is the perspective wall. Its application is a good example of the usefulness of data visualization techniques in the medical domain.


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