Machine and deep learning for workflow recognition during surgery.
Recent years have seen tremendous progress in artificial intelligence (AI), such as with the automatic and real-time recognition of objects and activities in videos in the field of computer vision. Due to its increasing digitalization, the operating room (OR) promises to directly benefit from this p...
| Publicado en: | Minimally Invasive Therapy & Allied Technologies Vol. 28; no. 2; pp. 82 - 91 |
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| Autor principal: | |
| Formato: | pictorial review tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135992318&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135992318 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13645706 J4S jtl: Minimally Invasive Therapy & Allied Technologies issn: 13645706 maglogo: Y pubinfo: dt: Apr2019 vid: 28 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 135992318 135992318 135992318 10.1080/13645706.2019.1584116 135992318 ppf: 82 ppct: 9 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Machine and deep learning for workflow recognition during surgery. aug: au: Padoy, Nicolas affil: ICube, IHU Strasbourg, CNRS, University of Strasbourg, Strasbourg, France sug: subj: Machine Learning Deep Learning Surgery, Operative Workflow Operating Rooms Administration Videorecording Equipment and Supplies Systems Analysis ab: Recent years have seen tremendous progress in artificial intelligence (AI), such as with the automatic and real-time recognition of objects and activities in videos in the field of computer vision. Due to its increasing digitalization, the operating room (OR) promises to directly benefit from this progress in the form of new assistance tools that can enhance the abilities and performance of surgical teams. Key for such tools is the recognition of the surgical workflow, because efficient assistance by an AI system requires this system to be aware of the surgical context, namely of all activities taking place inside the operating room. We present here how several recent techniques relying on machine and deep learning can be used to analyze the activities taking place during surgery, using videos captured from either endoscopic or ceiling-mounted cameras. We also present two potential clinical applications that we are developing at the University of Strasbourg with our clinical partners. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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