Recent Development of Augmented Reality in Surgery: A Review

Introduction. The development augmented reality devices allow physicians to incorporate data visualization into diagnostic and treatment procedures to improve work efficiency, safety, and cost and to enhance surgical training. However, the awareness of possibilities of augmented reality is generally low. This review evaluates whether augmented reality can presently improve the results of surgical procedures. Methods. We performed a review of available literature dating from 2010 to November 2016 by searching PubMed and Scopus using the terms “augmented reality” and “surgery.” Results. The initial search yielded 808 studies. After removing duplicates and including only journal articles, a total of 417 studies were identified. By reading of abstracts, 91 relevant studies were chosen to be included. 11 references were gathered by cross-referencing. A total of 102 studies were included in this review. Conclusions. The present literature suggest an increasing interest of surgeons regarding employing augmented reality into surgery leading to improved safety and efficacy of surgical procedures. Many studies showed that the performance of newly devised augmented reality systems is comparable to traditional techniques. However, several problems need to be addressed before augmented reality is implemented into the routine practice.

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An Augmented Reality Mobile Application for Skin Lesion Data Visualization

2020 24th International Conference Information Visualisation (IV) ◽

10.1109/iv51561.2020.00018 ◽

2020 ◽

Author(s):

Rita Francese ◽

Maria Frasca ◽

Michele Risi ◽

Genoveffa Tortora

Keyword(s):

Augmented Reality ◽

Skin Lesion ◽

Data Visualization ◽

Mobile Application

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Small Marker Tracking with Low-Cost, Unsynchronized, Movable Consumer Cameras For Augmented Reality Surgical Training

2020 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) ◽

10.1109/ismar-adjunct51615.2020.00038 ◽

2020 ◽

Author(s):

Nicholas Rewkowski ◽

Andrei State ◽

Henry Fuchs

Keyword(s):

Augmented Reality ◽

Surgical Training ◽

Low Cost ◽

Marker Tracking

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A Data Visualization Virtual Environment Supported by Augmented Reality

2006 IEEE International Conference on Systems, Man and Cybernetics ◽

10.1109/icsmc.2006.384365 ◽

2006 ◽

Cited By ~ 2

Author(s):

Claudio Kirner ◽

Tereza G. Kirner

Keyword(s):

Augmented Reality ◽

Virtual Environment ◽

Data Visualization

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DVAR: Data Visualization using Augmented Reality

10.1109/gcat52182.2021.9587831 ◽

2021 ◽

Author(s):

Pareena Padwal ◽

Yashpreet Singh ◽

Jeetesh Singh ◽

Suvarna Pansambal

Keyword(s):

Augmented Reality ◽

Data Visualization

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VISUALIZATION OF E-COMMERCE DATA USING AUGMENTED REALITY

Journal of Information System and Technology Management ◽

10.35631/jistm.519009 ◽

2020 ◽

Vol 5 (19) ◽

pp. 104-122

Author(s):

Azzan Amin ◽

Haslina Arshad ◽

Ummul Hanan Mohamad

Keyword(s):

Machine Learning ◽

Augmented Reality ◽

Data Visualization ◽

Data Science ◽

Moving Average ◽

Open Data ◽

Visual Presentation ◽

Depth Dimension ◽

2D Data ◽

Visualization Application

Data visualization is viewed as a significant element in data analysis and communication. As the data engagement becomes more and more complex, visual presentation of data does help users understand the data. So far, two-dimensional (2D) data visuals are often used for the data visualization process, but the lack of depth dimension leads to inefficient and limited understanding of the data. Therefore, the effectiveness of augmented reality (AR) in data visualization was studied through the development of an AR Data Visualization application using E-commerce data. Machine learning models are also involved in the development of this AR application for the provision of data using predictive analysis functions. To provide quality E-commerce data and an optimal machine learning model, the data science process is carried out using the python programming language. The E-commerce data selected for this study is open data taken through the Kaggle Website. This database has 9994 data numbers and 21 attributes. This AR data visualization application will make it easier for users to understand the E-commerce data in-depth through the use of AR technology and be able to visualize the forecasts for sales profit based on the algorithm model "Auto-Regressive Integrated Moving Average" (ARIMA).

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