SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force.
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| Title: | SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force. |
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| Authors: | Filicori F; Intraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Bitner DP; Intraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Fuchs HF; Department of Surgery, Division of Surgical Robotics and Artificial Intelligence, University of Cologne, Cologne, Germany., Anvari M; Center for Surgical Invention and Innovation, Department of Surgery, McMaster University, Hamilton, ON, Canada., Sankaranaraynan G; Artificial Intelligence and Medical Simulation (AIMS) Lab, Department of Surgery, UT Southwestern Medical Center, Dallas, TX, USA., Bloom MB; Minimally Invasive Surgery Laboratory, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Hashimoto DA; Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA., Madani A; Surgical Artificial Intelligence Research Academy, Department of Surgery, University Health Network, Toronto, ON, Canada., Mascagni P; Fondazione Policlinico Universitario A. Gemelli, Rome, Italy.; Institute of Image-Guided Surgery, IHU-Strasbourg, Strasbourg, France., Schlachta CM; Canadian Surgical Technologies & Advanced Robotics (CSTAR), London Health Sciences Centre, London, ON, Canada., Talamini M; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA., Meireles OR; Surgical Artificial Intelligence and Innovation Laboratory (SAIIL), Department of General Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC 339, Boston, MA, 02139, USA. OzMeireles@mgh.harvard.edu. |
| Source: | Surgical endoscopy [Surg Endosc] 2023 Jun; Vol. 37 (6), pp. 4321-4327. Date of Electronic Publication: 2023 Feb 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 8806653 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-2218 (Electronic) Linking ISSN: 09302794 NLM ISO Abbreviation: Surg Endosc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36729231 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Filicori+F%22">Filicori F</searchLink>; Intraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.<br /><searchLink fieldCode="AU" term="%22Bitner+DP%22">Bitner DP</searchLink>; Intraoperative Performance Analytics Laboratory (IPAL), Department of General Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA.; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.<br /><searchLink fieldCode="AU" term="%22Fuchs+HF%22">Fuchs HF</searchLink>; Department of Surgery, Division of Surgical Robotics and Artificial Intelligence, University of Cologne, Cologne, Germany.<br /><searchLink fieldCode="AU" term="%22Anvari+M%22">Anvari M</searchLink>; Center for Surgical Invention and Innovation, Department of Surgery, McMaster University, Hamilton, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Sankaranaraynan+G%22">Sankaranaraynan G</searchLink>; Artificial Intelligence and Medical Simulation (AIMS) Lab, Department of Surgery, UT Southwestern Medical Center, Dallas, TX, USA.<br /><searchLink fieldCode="AU" term="%22Bloom+MB%22">Bloom MB</searchLink>; Minimally Invasive Surgery Laboratory, Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA, USA.<br /><searchLink fieldCode="AU" term="%22Hashimoto+DA%22">Hashimoto DA</searchLink>; Department of Surgery, University Hospitals Cleveland Medical Center, Cleveland, OH, USA.<br /><searchLink fieldCode="AU" term="%22Madani+A%22">Madani A</searchLink>; Surgical Artificial Intelligence Research Academy, Department of Surgery, University Health Network, Toronto, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Mascagni+P%22">Mascagni P</searchLink>; Fondazione Policlinico Universitario A. Gemelli, Rome, Italy.; Institute of Image-Guided Surgery, IHU-Strasbourg, Strasbourg, France.<br /><searchLink fieldCode="AU" term="%22Schlachta+CM%22">Schlachta CM</searchLink>; Canadian Surgical Technologies & Advanced Robotics (CSTAR), London Health Sciences Centre, London, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Talamini+M%22">Talamini M</searchLink>; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.<br /><searchLink fieldCode="AU" term="%22Meireles+OR%22">Meireles OR</searchLink>; Surgical Artificial Intelligence and Innovation Laboratory (SAIIL), Department of General Surgery, Massachusetts General Hospital, 15 Parkman Street, WAC 339, Boston, MA, 02139, USA. OzMeireles@mgh.harvard.edu. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228806653%22">Surgical endoscopy</searchLink> [Surg Endosc] 2023 Jun; Vol. 37 (6), pp. 4321-4327. <i>Date of Electronic Publication: </i>2023 Feb 02. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>8806653 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-2218 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209302794%22">09302794 </searchLink><i>NLM ISO Abbreviation: </i>Surg Endosc <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36729231 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00464-022-09825-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 4321 Titles: – TitleFull: SAGES video acquisition framework-analysis of available OR recording technologies by the SAGES AI task force. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Filicori F – PersonEntity: Name: NameFull: Bitner DP – PersonEntity: Name: NameFull: Fuchs HF – PersonEntity: Name: NameFull: Anvari M – PersonEntity: Name: NameFull: Sankaranaraynan G – PersonEntity: Name: NameFull: Bloom MB – PersonEntity: Name: NameFull: Hashimoto DA – PersonEntity: Name: NameFull: Madani A – PersonEntity: Name: NameFull: Mascagni P – PersonEntity: Name: NameFull: Schlachta CM – PersonEntity: Name: NameFull: Talamini M – PersonEntity: Name: NameFull: Meireles OR IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2023 Jun Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 1432-2218 Numbering: – Type: volume Value: 37 – Type: issue Value: 6 Titles: – TitleFull: Surgical endoscopy Type: main |
| ResultId | 1 |