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Cited by 394

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Recent Development of Augmented Reality in Surgery: A Review

Open access
Vávra, P., Roman, J., Zonča, P., Ihnát, P., Němec, M., Kumar, J., Habib, N., El-Gendi, A.·2017·Journal of Healthcare Engineering

Abstract

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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Crossref · 10.1155/2017/4574172

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Metadata

Authors
Vávra, P., Roman, J., Zonča, P., Ihnát, P., Němec, M., Kumar, J., Habib, N., & El-Gendi, A.
Venue
Journal of Healthcare Engineering
Publisher
Wiley
Published
2017
Volume
2017
Pages
1-9
ISSN
  • 2040-2295 (ISSN-L)
  • 2040-2309
OpenAlex
W2748217987
Cited by
394
References
1
FWCI
12.02
Type
journal article
Language
en
Open access
hybrid

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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