Artificial Intelligence-Assisted Muscular Ultrasonography for Assessing Inflammation and Muscle Mass in Patients at Risk of Malnutrition
AI-assisted ultrasonography revealed that malnourished patients with inflammation had reduced muscle area, thickness, and quality (higher fat content and lower muscle percentage). Elevated inflammation levels were associated with increased risks of poor muscle metrics. Future research should focus on exploring the impact of inflammation on muscles across various patient groups and developing AI-driven biomarkers to enhance the diagnosis, monitoring, and treatment of malnutrition and sarcopenia.
Authors
- Rebeca Jiménez-Sahagún
- Paloma Pérez López
- Eduardo Jorge Godoy (ORCID: https://orcid.org/0000-0001-5625-2846)
- Olatz Izaola-Jáuregui
- Daniel Rico (ORCID: https://orcid.org/0000-0002-0755-3033)
- Emilia Gómez Hoyos (ORCID: https://orcid.org/0000-0001-7079-6356)
- David Primo (ORCID: https://orcid.org/0000-0002-3474-0766)
- Daniel Antonio de Luis (ORCID: https://orcid.org/0000-0002-1745-9315)
- Juan José López Gómez (ORCID: https://orcid.org/0000-0003-3144-343X)
- Ángela Cebriá (ORCID: https://orcid.org/0000-0001-5878-2832)
- Jaime González-Gutiérrez
- Lucía Estévez-Asensio
Institutions
- Universidad de Valladolid (ES)
- Universitat de València (ES)
- Parc Científic de la Universitat de València (ES)
- Hospital Clínico Universitario de Valladolid (ES)
- Software (Spain) (ES)
Publication Details
- Journal
- Nutrients
- Published
- 2025-05-09
- DOI
- https://doi.org/10.3390/nu17101620
- Citations
- 6
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 6.99