Systematic Literature Review on Convolutional Neural Networks for Vascular Surgeries

Authors

  • Javier Gamboa-Cruzado Universidad Nacional Mayor de San Marcos https://orcid.org/0000-0002-0461-4152
  • Michelle Rojas-Morales Universidad Nacional Federico Villareal
  • Jefferson López-Goycochea Universidad de San Martin de Porres https://orcid.org/0000-0002-5121-1540
  • Enrique Condor Tinoco Universidad Nacional José María Arguedas https://orcid.org/0000-0002-2711-9517
  • Guillermo Paucar-Carlos Universidad Nacional de San Antonio Abad del Cusco
  • Anibal Sifuentes Damián Universidad Nacional José Faustino Sánchez Carrión

DOI:

https://doi.org/10.3991/ijoe.v18i12.31535

Keywords:

Convolutional Neural Networks, Vascular Surgeries, Artificial Intelligence (AI), Systematic Literature Review

Abstract


Everyday thousands of cardiac surgeries are performed worldwide. This article reviews numerous studies on the use of Convolutional Neural Networks and their impact on vascular surgery. The development of computer systems supported by convolutional neural networks that contribute to vascular surgeries represents an important deviation from traditional approaches to the performance of surgical interventions, either through computed tomography verification or the method in which a surgeon ceases to participate in this type of surgical interventions. A systematic literature review (SLR) regarding convolutional neural networks for use in vascular surgeries was conducted for research from 2016 to 2021. The search strategy identified 15,505 papers from various search sources such as ACM Digital Library, EBSCOhost, Google Scholar, IEEE Xplore, MDPI, Microsoft Academic, ProQuest, ScienceDirect, Scopus, Springer, Web of Science, and Wiley Online Library, from which only 70 papers were considered (selected) based on exclusion criteria. The SLR focused on recent studies on convolutional neural networks where their use in vascular surgeries has been identified. This SLR provides readers with a mapping of all identified findings, making a comparison by relevance in regard to their own settings and possible scenarios. Therefore, it is hoped that this research will help other researchers to understand the current status of Convolutional Neural Networks and their application in Vascular Surgeries.

Author Biographies

Javier Gamboa-Cruzado, Universidad Nacional Mayor de San Marcos

Works at the Faculty of Systems Engineering of the Universidad Nacional Mayor de San Marcos

Michelle Rojas-Morales, Universidad Nacional Federico Villareal

Graduate of the Faculty of Industrial and Systems Engineering

Jefferson López-Goycochea, Universidad de San Martin de Porres

works at the Faculty of Engineering and Arquitecture of the Universidad de San Martín de Porres

Enrique Condor Tinoco, Universidad Nacional José María Arguedas

works at the Faculty of Engineering of the Universidad José María Arguedas.

Guillermo Paucar-Carlos, Universidad Nacional de San Antonio Abad del Cusco

works at the Department of Mathematics and Statistics of the National University of San Antonio Abad del Cusco

Anibal Sifuentes Damián, Universidad Nacional José Faustino Sánchez Carrión

works at the Faculty of Sciences of the José Faustino Sánchez Carrión National University.

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Published

2022-09-14

How to Cite

Gamboa-Cruzado, J., Rojas-Morales, M., López-Goycochea, J., Condor Tinoco, E., Paucar-Carlos, G., & Sifuentes Damián, A. (2022). Systematic Literature Review on Convolutional Neural Networks for Vascular Surgeries. International Journal of Online and Biomedical Engineering (iJOE), 18(12), pp. 138–158. https://doi.org/10.3991/ijoe.v18i12.31535

Issue

Section

Reviews