How Wearable Technology Can Facilitate AI Analysis of Surgical Videos

dc.contributor.authorPugh, Carla M.
dc.contributor.authorGhazi, Ahmed
dc.contributor.authorStefanidis, Dimitrios
dc.contributor.authorSchwaitzberg, Steven D.
dc.contributor.authorMartino, Martin A.
dc.contributor.authorLevy, Jeffrey S.
dc.contributor.departmentSurgery, School of Medicine
dc.date.accessioned2024-03-01T17:16:15Z
dc.date.available2024-03-01T17:16:15Z
dc.date.issued2020-10-05
dc.description.abstractOperative 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.
dc.eprint.versionFinal published version
dc.identifier.citationPugh CM, Ghazi A, Stefanidis D, Schwaitzberg SD, Martino MA, Levy JS. How Wearable Technology Can Facilitate AI Analysis of Surgical Videos. Ann Surg Open. 2020;1(2):e011. Published 2020 Oct 5. doi:10.1097/AS9.0000000000000011
dc.identifier.urihttps://hdl.handle.net/1805/39017
dc.language.isoen_US
dc.publisherWolters Kluwer
dc.relation.isversionof10.1097/AS9.0000000000000011
dc.relation.journalAnnals of Surgery Open
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcePMC
dc.subjectArtificial intelligence
dc.subjectPerformance assessment
dc.subjectObjective metrics
dc.subjectWearable technology
dc.titleHow Wearable Technology Can Facilitate AI Analysis of Surgical Videos
dc.typeArticle
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