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Title:           EndoTrainer: a novel hybrid training platform for endoscopic surgery
Subject:         International Journal of Computer Assisted Radiology and Surgery, https://doi.org/10.1007/s11548-023-02837-x
Keywords:        Hybrid surgical training platform; Endoscopic training; Endoscopic assessment; Surgical simulation
Author:          Albert Hernansanz 
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     Item: 
      Title: EndoTrainer: a novel hybrid training platform for endoscopic surgery
      Destination: Doc-Start
      Children: 
       Item: 
        Title: Abstract
        Destination: abscnt.1
       Item: 
        Title: Introduction
        Destination: section.1
       Item: 
        Title: Related work
        Destination: section.2
        Children: 
         Item: 
          Title: Physical training platforms
          Destination: subsection.2.1
         Item: 
          Title: Virtual training platforms
          Destination: subsection.2.2
         Item: 
          Title: Hybrid training platform
          Destination: subsection.2.3
       Item: 
        Title: Method
        Destination: section.3
        Children: 
         Item: 
          Title: EndoTrainer hybrid platform
          Destination: subsection.3.1
         Item: 
          Title: Exercises
          Destination: subsection.3.2
          Children: 
           Item: 
            Title: Exercise 1: 30-degree Camera Navigation
            Destination: subsubsection.3.2.1
         Item: 
          Title: Evaluation metrics and statistical tests
          Destination: subsection.3.3
         Item: 
          Title: Experimental phase
          Destination: subsection.3.4
       Item: 
        Title: Results
        Destination: section.4
        Children: 
         Item: 
          Title: Statistical analysis
          Destination: subsection.4.1
          Children: 
           Item: 
            Title: Initial vs final trials
            Destination: subsubsection.4.1.1
           Item: 
            Title: Initial vs middle trials
            Destination: subsubsection.4.1.2
           Item: 
            Title: Middle vs final trials
            Destination: subsubsection.4.1.3
       Item: 
        Title: Discussion
        Destination: section.5
       Item: 
        Title: Conclusions
        Destination: section.6
       Item: 
        Title: Acknowledgements
        Destination: ackcount.1
       Item: 
        Title: References
        Destination: myseccnt.1
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                           <pdfaProperty:description>ISSN for an electronic version of the issue in which the resource occurs. Permits publishers to include a second ISSN, identifying an electronic version of the issue in which the resource occurs (therefore e(lectronic)Issn. If used, prism:eIssn MUST contain the ISSN of the electronic version.</pdfaProperty:description>
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                           <pdfaProperty:description>The aggregation type specifies the unit of aggregation for a content collection. Comment PRISM recommends that the PRISM Aggregation Type Controlled Vocabulary be used to provide values for this element. Note: PRISM recommends against the use of the #other value currently allowed in this controlled vocabulary. In lieu of using #other please reach out to the PRISM group at info@prismstandard.org to request addition of your term to the Aggregation Type Controlled Vocabulary. </pdfaProperty:description>
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                           <pdfaProperty:description>Title of the magazine, or other publication, in which a resource was/will be published. Typically this will be used to provide the name of the magazine an article appeared in as metadata for the article, along with information such as the article title, the publisher, volume, number, and cover date. Note: Publication name can be used to differentiate between a print magazine and the online version if the names are different such as “magazine” and “magazine.com.”</pdfaProperty:description>
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  Checksum: c574d3f3
   Type: CRC32
  Checksum: 47db69eb72784e7a4fbfcb845a2d4ae8
   Type: MD5
  Checksum: 274d3483914dfa68e6b67c88008c0c2025c17553
   Type: SHA-1
  Checksum: 24be15ba7b86ecb4095acbea7eea0966a24270364ff5dc5762f112bc6333738b
   Type: SHA-256