A systematic scoping review protocol to summarise and appraise the use of artificial intelligence in the analysis of digital videos of invasive general surgical procedures.
artificial intelligence
operative
procedures
review
surgery
video
Journal
International journal of surgery protocols
ISSN: 2468-3574
Titre abrégé: Int J Surg Protoc
Pays: England
ID NLM: 101758186
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
09
11
2022
accepted:
28
09
2023
medline:
4
12
2023
pubmed:
4
12
2023
entrez:
4
12
2023
Statut:
epublish
Résumé
Intraoperative video recordings are a valuable addition to operative written documentation. However, the review of these videos often requires surgical expertise and takes considerable time. While a large amount of work has been undertaken to understand the role of artificial intelligence (AI) in healthcare more generally, the application of these techniques to automate the analysis of surgical videos is currently unclear. In this systematic scoping review, we sought to give a contemporary overview of the use of AI research in the analysis of digital videos of invasive general surgical procedures. We will describe and summarise the study characteristics, purpose of the applications and stage of development, to ascertain how these techniques might be applied in future research and to identify gaps in current knowledge (e.g. uncertainties about the study methods). Systematic searches will be conducted in OVID Medline and Embase, using terms related to 'artificial intelligence', 'surgery' and 'video' to identify all potentially relevant studies published since 1st January 2012. All primary studies where AI has been applied to the analysis of videos (recorded by conventional digital cameras or laparoscopic or robotic-assisted technology) of general surgical procedures will be included. Data extraction will include study characteristics, governance, details of video datasets and AI models, measures of accuracy, validation and any reported limitations. No ethical approval is required as primary data will not be collected. The results will be disseminated at relevant conferences, on social media and published in a peer-reviewed journal.
Sections du résumé
Background
UNASSIGNED
Intraoperative video recordings are a valuable addition to operative written documentation. However, the review of these videos often requires surgical expertise and takes considerable time. While a large amount of work has been undertaken to understand the role of artificial intelligence (AI) in healthcare more generally, the application of these techniques to automate the analysis of surgical videos is currently unclear. In this systematic scoping review, we sought to give a contemporary overview of the use of AI research in the analysis of digital videos of invasive general surgical procedures. We will describe and summarise the study characteristics, purpose of the applications and stage of development, to ascertain how these techniques might be applied in future research and to identify gaps in current knowledge (e.g. uncertainties about the study methods).
Methods
UNASSIGNED
Systematic searches will be conducted in OVID Medline and Embase, using terms related to 'artificial intelligence', 'surgery' and 'video' to identify all potentially relevant studies published since 1st January 2012. All primary studies where AI has been applied to the analysis of videos (recorded by conventional digital cameras or laparoscopic or robotic-assisted technology) of general surgical procedures will be included. Data extraction will include study characteristics, governance, details of video datasets and AI models, measures of accuracy, validation and any reported limitations.
Ethics and dissemination
UNASSIGNED
No ethical approval is required as primary data will not be collected. The results will be disseminated at relevant conferences, on social media and published in a peer-reviewed journal.
Identifiants
pubmed: 38046901
doi: 10.1097/SP9.0000000000000012
pii: ISJP-D-22-00021
pmc: PMC10688534
doi:
Types de publication
Journal Article
Langues
eng
Pagination
118-121Informations de copyright
Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
There are no conflicts of interest.Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.
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