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The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature

This is a review focused on advances and current limitations of computer vision (CV) and how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to one that we previously published in Sensors entitled, “Artificial Intelligence Surgery: How Do We Get to Autonomous A...

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Autores principales: Gumbs, Andrew A., Grasso, Vincent, Bourdel, Nicolas, Croner, Roland, Spolverato, Gaya, Frigerio, Isabella, Illanes, Alfredo, Abu Hilal, Mohammad, Park, Adrian, Elyan, Eyad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269548/
https://www.ncbi.nlm.nih.gov/pubmed/35808408
http://dx.doi.org/10.3390/s22134918
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author Gumbs, Andrew A.
Grasso, Vincent
Bourdel, Nicolas
Croner, Roland
Spolverato, Gaya
Frigerio, Isabella
Illanes, Alfredo
Abu Hilal, Mohammad
Park, Adrian
Elyan, Eyad
author_facet Gumbs, Andrew A.
Grasso, Vincent
Bourdel, Nicolas
Croner, Roland
Spolverato, Gaya
Frigerio, Isabella
Illanes, Alfredo
Abu Hilal, Mohammad
Park, Adrian
Elyan, Eyad
author_sort Gumbs, Andrew A.
collection PubMed
description This is a review focused on advances and current limitations of computer vision (CV) and how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to one that we previously published in Sensors entitled, “Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?” As opposed to that article that also discussed issues of machine learning, deep learning and natural language processing, this review will delve deeper into the field of CV. Additionally, non-visual forms of data that can aid computerized robots in the performance of more autonomous actions, such as instrument priors and audio haptics, will also be highlighted. Furthermore, the current existential crisis for surgeons, endoscopists and interventional radiologists regarding more autonomy during procedures will be discussed. In summary, this paper will discuss how to harness the power of CV to keep doctors who do interventions in the loop.
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spelling pubmed-92695482022-07-09 The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature Gumbs, Andrew A. Grasso, Vincent Bourdel, Nicolas Croner, Roland Spolverato, Gaya Frigerio, Isabella Illanes, Alfredo Abu Hilal, Mohammad Park, Adrian Elyan, Eyad Sensors (Basel) Review This is a review focused on advances and current limitations of computer vision (CV) and how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to one that we previously published in Sensors entitled, “Artificial Intelligence Surgery: How Do We Get to Autonomous Actions in Surgery?” As opposed to that article that also discussed issues of machine learning, deep learning and natural language processing, this review will delve deeper into the field of CV. Additionally, non-visual forms of data that can aid computerized robots in the performance of more autonomous actions, such as instrument priors and audio haptics, will also be highlighted. Furthermore, the current existential crisis for surgeons, endoscopists and interventional radiologists regarding more autonomy during procedures will be discussed. In summary, this paper will discuss how to harness the power of CV to keep doctors who do interventions in the loop. MDPI 2022-06-29 /pmc/articles/PMC9269548/ /pubmed/35808408 http://dx.doi.org/10.3390/s22134918 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Gumbs, Andrew A.
Grasso, Vincent
Bourdel, Nicolas
Croner, Roland
Spolverato, Gaya
Frigerio, Isabella
Illanes, Alfredo
Abu Hilal, Mohammad
Park, Adrian
Elyan, Eyad
The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature
title The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature
title_full The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature
title_fullStr The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature
title_full_unstemmed The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature
title_short The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature
title_sort advances in computer vision that are enabling more autonomous actions in surgery: a systematic review of the literature
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269548/
https://www.ncbi.nlm.nih.gov/pubmed/35808408
http://dx.doi.org/10.3390/s22134918
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