View in EDS

Application of artificial intelligence and digital tools in cancer pathology.

Saved in:
Bibliographic Details
Title: Application of artificial intelligence and digital tools in cancer pathology.
Authors: Shaktah LA; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Carrero ZI; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Hewitt KJ; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Gustav M; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany., Cecchini M; Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada., Foersch S; Institute of Pathology, University Medical Center Mainz, Mainz, Germany., Berezowska S; Department of Laboratory Medicine and Pathology, Institute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland., Kather JN; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. Electronic address: kather.jn@tu-dresden.de.
Source: The Lancet. Digital health [Lancet Digit Health] 2025 Oct; Vol. 7 (10), pp. 100933. Date of Electronic Publication: 2025 Nov 14.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101751302 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2589-7500 (Electronic) Linking ISSN: 25897500 NLM ISO Abbreviation: Lancet Digit Health Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41241581
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Application of artificial intelligence and digital tools in cancer pathology.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Shaktah+LA%22">Shaktah LA</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Carrero+ZI%22">Carrero ZI</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Hewitt+KJ%22">Hewitt KJ</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Gustav+M%22">Gustav M</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.<br /><searchLink fieldCode="AU" term="%22Cecchini+M%22">Cecchini M</searchLink>; Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada.<br /><searchLink fieldCode="AU" term="%22Foersch+S%22">Foersch S</searchLink>; Institute of Pathology, University Medical Center Mainz, Mainz, Germany.<br /><searchLink fieldCode="AU" term="%22Berezowska+S%22">Berezowska S</searchLink>; Department of Laboratory Medicine and Pathology, Institute of Pathology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.<br /><searchLink fieldCode="AU" term="%22Kather+JN%22">Kather JN</searchLink>; Else Kroener Fresenius Center for Digital Health, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; Department of Medicine I, Faculty of Medicine and University Hospital Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany; Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany; Pathology & Data Analytics, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK. Electronic address: kather.jn@tu-dresden.de.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101751302%22">The Lancet. Digital health</searchLink> [Lancet Digit Health] 2025 Oct; Vol. 7 (10), pp. 100933. <i>Date of Electronic Publication: </i>2025 Nov 14.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Review
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+Ltd%22">Elsevier Ltd </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101751302 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2589-7500 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225897500%22">25897500 </searchLink><i>NLM ISO Abbreviation: </i>Lancet Digit Health <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41241581
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.landig.2025.100933
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 100933
    Titles:
      – TitleFull: Application of artificial intelligence and digital tools in cancer pathology.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Shaktah LA
      – PersonEntity:
          Name:
            NameFull: Carrero ZI
      – PersonEntity:
          Name:
            NameFull: Hewitt KJ
      – PersonEntity:
          Name:
            NameFull: Gustav M
      – PersonEntity:
          Name:
            NameFull: Cecchini M
      – PersonEntity:
          Name:
            NameFull: Foersch S
      – PersonEntity:
          Name:
            NameFull: Berezowska S
      – PersonEntity:
          Name:
            NameFull: Kather JN
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: 2025 Oct
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2589-7500
          Numbering:
            – Type: volume
              Value: 7
            – Type: issue
              Value: 10
          Titles:
            – TitleFull: The Lancet. Digital health
              Type: main
ResultId 1