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

Abstract Background Early detection and treatment of sarcopenia are crucial for improving patient outcomes, yet current diagnostic methods often lack the accuracy, accessibility, and efficiency needed for widespread clinical use. The aim of this study was to develop an accurate, secure, and evidence...

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Hlavní autoři: Kristoffer Kittelmann Brockhattingen, Emilie Helgesen Karlsson, Tobias Bolvig Rasmussen Bielefeldt, Amin Naemi, Karen Andersen-Ranberg, Pardis Moradbeiki, Ali Ebrahimi, Uffe Kock Wiil
Médium: Artigo
Jazyk:Inglês
Vydáno: BMC 2026-01-01
Edice:BMC Geriatrics
Témata:
Sarcopenia
Ultrasound
Artificial intelligence
Multimodal
Decision support system
Deep learning
On-line přístup:https://doi.org/10.1186/s12877-026-07005-9
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