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...
Autores principales: | , , , , , |
---|---|
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 |