View in EDS

The sarcopenia artificial intelligence diagnostic decision support system (SAID DSS) - a multimodal deep learning model.

Saved in:
Bibliographic Details
Title: The sarcopenia artificial intelligence diagnostic decision support system (SAID DSS) - a multimodal deep learning model.
Authors: Brockhattingen KK; Geriatric Research Unit, Department of Clinical Research, University of Southern Denmark, Odense, Denmark. Kristoffer.k.brockhattingen@rsyd.dk.; Department of Geriatric Medicine, Odense University Hospital, Svendborg, Denmark. Kristoffer.k.brockhattingen@rsyd.dk.; Department of Geriatric Medicine, Odense University Hospital, Odense, Denmark. Kristoffer.k.brockhattingen@rsyd.dk.; Sarcopenia Through Ultrasound (SARCUS) working group, European Union Geriatric Medicine Society and University of Antwerp, Antwerp, Belgium. Kristoffer.k.brockhattingen@rsyd.dk., Karlsson EH; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark., Bielefeldt TBR; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark., Naemi A; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark.; Nordcee, Department of Biology, University of Southern Denmark, Sønderborg, Denmark., Andersen-Ranberg K; Geriatric Research Unit, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.; Department of Geriatric Medicine, Odense University Hospital, Odense, Denmark.; Sarcopenia Through Ultrasound (SARCUS) working group, European Union Geriatric Medicine Society and University of Antwerp, Antwerp, Belgium., Moradbeiki P; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark., Ebrahimi A; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark., Wiil UK; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark.
Source: BMC geriatrics [BMC Geriatr] 2026 Jan 26; Vol. 26 (1). Date of Electronic Publication: 2026 Jan 26.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968548 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2318 (Electronic) Linking ISSN: 14712318 NLM ISO Abbreviation: BMC Geriatr Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41588346
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: The sarcopenia artificial intelligence diagnostic decision support system (SAID DSS) - a multimodal deep learning model.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Brockhattingen+KK%22">Brockhattingen KK</searchLink>; Geriatric Research Unit, Department of Clinical Research, University of Southern Denmark, Odense, Denmark. Kristoffer.k.brockhattingen@rsyd.dk.; Department of Geriatric Medicine, Odense University Hospital, Svendborg, Denmark. Kristoffer.k.brockhattingen@rsyd.dk.; Department of Geriatric Medicine, Odense University Hospital, Odense, Denmark. Kristoffer.k.brockhattingen@rsyd.dk.; Sarcopenia Through Ultrasound (SARCUS) working group, European Union Geriatric Medicine Society and University of Antwerp, Antwerp, Belgium. Kristoffer.k.brockhattingen@rsyd.dk.<br /><searchLink fieldCode="AU" term="%22Karlsson+EH%22">Karlsson EH</searchLink>; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Bielefeldt+TBR%22">Bielefeldt TBR</searchLink>; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Naemi+A%22">Naemi A</searchLink>; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark.; Nordcee, Department of Biology, University of Southern Denmark, Sønderborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Andersen-Ranberg+K%22">Andersen-Ranberg K</searchLink>; Geriatric Research Unit, Department of Clinical Research, University of Southern Denmark, Odense, Denmark.; Department of Geriatric Medicine, Odense University Hospital, Odense, Denmark.; Sarcopenia Through Ultrasound (SARCUS) working group, European Union Geriatric Medicine Society and University of Antwerp, Antwerp, Belgium.<br /><searchLink fieldCode="AU" term="%22Moradbeiki+P%22">Moradbeiki P</searchLink>; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Ebrahimi+A%22">Ebrahimi A</searchLink>; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark.<br /><searchLink fieldCode="AU" term="%22Wiil+UK%22">Wiil UK</searchLink>; SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Sønderborg, Denmark.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22100968548%22">BMC geriatrics</searchLink> [BMC Geriatr] 2026 Jan 26; Vol. 26 (1). <i>Date of Electronic Publication: </i>2026 Jan 26.
– 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="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968548 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2318 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712318%22">14712318 </searchLink><i>NLM ISO Abbreviation: </i>BMC Geriatr <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41588346
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1186/s12877-026-07005-9
    Languages:
      – Code: eng
        Text: English
    Titles:
      – TitleFull: The sarcopenia artificial intelligence diagnostic decision support system (SAID DSS) - a multimodal deep learning model.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Brockhattingen KK
      – PersonEntity:
          Name:
            NameFull: Karlsson EH
      – PersonEntity:
          Name:
            NameFull: Bielefeldt TBR
      – PersonEntity:
          Name:
            NameFull: Naemi A
      – PersonEntity:
          Name:
            NameFull: Andersen-Ranberg K
      – PersonEntity:
          Name:
            NameFull: Moradbeiki P
      – PersonEntity:
          Name:
            NameFull: Ebrahimi A
      – PersonEntity:
          Name:
            NameFull: Wiil UK
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 26
              M: 01
              Text: 2026 Jan 26
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1471-2318
          Numbering:
            – Type: volume
              Value: 26
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: BMC geriatrics
              Type: main
ResultId 1