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

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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
Description
ISSN:1471-2318
DOI:10.1186/s12877-026-07005-9