Cargando…

How Wearable Technology Can Facilitate AI Analysis of Surgical Videos

Operative video has great potential to enable instant replays of critical surgical decisions for training and quality review. Recently, artificial intelligence (AI) has shown early promise as a method of enabling efficient video review, analysis, and segmentation. Despite the progress with AI analys...

Descripción completa

Detalles Bibliográficos
Autores principales: Pugh, Carla M., Ghazi, Ahmed, Stefanidis, Dimitrios, Schwaitzberg, Steven D., Martino, Martin A., Levy, Jeffrey S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health, Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455149/
https://www.ncbi.nlm.nih.gov/pubmed/37637444
http://dx.doi.org/10.1097/AS9.0000000000000011
_version_ 1785096379073298432
author Pugh, Carla M.
Ghazi, Ahmed
Stefanidis, Dimitrios
Schwaitzberg, Steven D.
Martino, Martin A.
Levy, Jeffrey S.
author_facet Pugh, Carla M.
Ghazi, Ahmed
Stefanidis, Dimitrios
Schwaitzberg, Steven D.
Martino, Martin A.
Levy, Jeffrey S.
author_sort Pugh, Carla M.
collection PubMed
description Operative video has great potential to enable instant replays of critical surgical decisions for training and quality review. Recently, artificial intelligence (AI) has shown early promise as a method of enabling efficient video review, analysis, and segmentation. Despite the progress with AI analysis of surgical videos, more work needs to be done to improve the accuracy and efficiency of AI-driven video analysis. At a recent consensus conference held on July 10–11, 2020, 8 research teams shared their work using AI for surgical video analysis. Four of the teams showcased the utility of wearable technology in providing objective surgical metrics. Data from these technologies were shown to pinpoint important cognitive and motor actions during operative tasks and procedures. The results support the utility of wearable technology to facilitate efficient and accurate video analysis and segmentation.
format Online
Article
Text
id pubmed-10455149
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Wolters Kluwer Health, Inc.
record_format MEDLINE/PubMed
spelling pubmed-104551492023-08-26 How Wearable Technology Can Facilitate AI Analysis of Surgical Videos Pugh, Carla M. Ghazi, Ahmed Stefanidis, Dimitrios Schwaitzberg, Steven D. Martino, Martin A. Levy, Jeffrey S. Ann Surg Open Surgical Perspectives Operative video has great potential to enable instant replays of critical surgical decisions for training and quality review. Recently, artificial intelligence (AI) has shown early promise as a method of enabling efficient video review, analysis, and segmentation. Despite the progress with AI analysis of surgical videos, more work needs to be done to improve the accuracy and efficiency of AI-driven video analysis. At a recent consensus conference held on July 10–11, 2020, 8 research teams shared their work using AI for surgical video analysis. Four of the teams showcased the utility of wearable technology in providing objective surgical metrics. Data from these technologies were shown to pinpoint important cognitive and motor actions during operative tasks and procedures. The results support the utility of wearable technology to facilitate efficient and accurate video analysis and segmentation. Wolters Kluwer Health, Inc. 2020-10-05 /pmc/articles/PMC10455149/ /pubmed/37637444 http://dx.doi.org/10.1097/AS9.0000000000000011 Text en Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Surgical Perspectives
Pugh, Carla M.
Ghazi, Ahmed
Stefanidis, Dimitrios
Schwaitzberg, Steven D.
Martino, Martin A.
Levy, Jeffrey S.
How Wearable Technology Can Facilitate AI Analysis of Surgical Videos
title How Wearable Technology Can Facilitate AI Analysis of Surgical Videos
title_full How Wearable Technology Can Facilitate AI Analysis of Surgical Videos
title_fullStr How Wearable Technology Can Facilitate AI Analysis of Surgical Videos
title_full_unstemmed How Wearable Technology Can Facilitate AI Analysis of Surgical Videos
title_short How Wearable Technology Can Facilitate AI Analysis of Surgical Videos
title_sort how wearable technology can facilitate ai analysis of surgical videos
topic Surgical Perspectives
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455149/
https://www.ncbi.nlm.nih.gov/pubmed/37637444
http://dx.doi.org/10.1097/AS9.0000000000000011
work_keys_str_mv AT pughcarlam howwearabletechnologycanfacilitateaianalysisofsurgicalvideos
AT ghaziahmed howwearabletechnologycanfacilitateaianalysisofsurgicalvideos
AT stefanidisdimitrios howwearabletechnologycanfacilitateaianalysisofsurgicalvideos
AT schwaitzbergstevend howwearabletechnologycanfacilitateaianalysisofsurgicalvideos
AT martinomartina howwearabletechnologycanfacilitateaianalysisofsurgicalvideos
AT levyjeffreys howwearabletechnologycanfacilitateaianalysisofsurgicalvideos