How Wearable Technology Can Facilitate AI Analysis of Surgical Videos.
Artificial intelligence
Objective metrics
Performance assessment
Wearable technology
Journal
Annals of surgery open : perspectives of surgical history, education, and clinical approaches
ISSN: 2691-3593
Titre abrégé: Ann Surg Open
Pays: United States
ID NLM: 101769928
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
received:
21
07
2020
accepted:
28
07
2020
medline:
5
10
2020
pubmed:
5
10
2020
entrez:
28
8
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37637444
doi: 10.1097/AS9.0000000000000011
pmc: PMC10455149
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e011Informations de copyright
Copyright © 2020 The Author(s). Published by Wolters Kluwer Health, Inc.
Déclaration de conflit d'intérêts
Disclosure: The authors declare that they have nothing to disclose.
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