An Artificial Intelligence Approach for Test‐Free Identification of Sarcopenia
We developed an artificial intelligence model that can assist in the identification of sarcopenia, particularly in settings lacking the necessary resources for a comprehensive diagnosis. These findings offer potential for improving decision-making and facilitating the development of novel management strategies of sarcopenia.
Authors
- Jinghong Zhao (ORCID: https://orcid.org/0000-0001-9750-3285)
- Liangyu Yin (ORCID: https://orcid.org/0000-0001-8876-2680)
Institutions
- Army Medical University (CN)
- Xinqiao Hospital (CN)
Publication Details
- Journal
- Journal of Cachexia Sarcopenia and Muscle
- Published
- 2024-11-08
- DOI
- https://doi.org/10.1002/jcsm.13627
- Citations
- 11
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 3.59
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Chongqing
- Centre Scientifique et Technique du Bâtiment