ODIASP: An Open‐Source Software for Automated SMI Determination—Application to an Inpatient Population
This study demonstrates that ODIASP is a reliable tool for automated SMI at the L3 vertebra level from CT scans. The integration of validated AI algorithms into a simple, open-source software enables scalable, standardised assessment of SMI in diverse patient populations and supports future integration into clinical workflows for improved nutritional assessment.
Authors
- Cécile Betry (ORCID: https://orcid.org/0000-0001-6729-2704)
- Joris Giai (ORCID: https://orcid.org/0000-0003-2424-8046)
- Svetlana Artemova (ORCID: https://orcid.org/0009-0006-8374-8197)
- Antoine Vilotitch
- Katia Charrière
- Ivan Bricault (ORCID: https://orcid.org/0000-0002-2910-364X)
- Pierre‐Ephrem Madiot
- Éric Fontaine (ORCID: https://orcid.org/0000-0002-5204-9477)
- G. Ferretti (ORCID: https://orcid.org/0000-0002-5367-7109)
- Jean‐Luc Bosson (ORCID: https://orcid.org/0000-0003-0967-6026)
- Alexandre Moreau–Gaudry
- Charlène Dumont
- A. Ragusa
- Béatrice Genoux
- Paul‐Antoine Beaudoin
Institutions
- Institut polytechnique de Grenoble (FR)
- Centre National de la Recherche Scientifique (FR)
- Inserm (FR)
- Centre Hospitalier Universitaire de Grenoble (FR)
- Santé Publique France (FR)
- Centre d'Investigation Clinique - Innovation Technologique (FR)
- Grenoble Institute of Neurosciences (FR)
- Institut pour l'avancée des biosciences (FR)
- Université Grenoble Alpes (FR)
Publication Details
- Journal
- Journal of Cachexia Sarcopenia and Muscle
- Published
- 2025-07-26
- DOI
- https://doi.org/10.1002/jcsm.70023
- Citations
- 4
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 4.66
Funders
- Agence Nationale de la Recherche