Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset
This AI-based web application addresses the limitations of previous diagnostic techniques by automatically analyzing medical images for the classification, segmentation, and calculation of T-scores. The study findings provide a more reliable and accurate diagnostic technique for sarcopenia that can consequently impact patient treatment and outcomes.
Authors
- Si-Hyeong Noh
- Dongwook Lim
- Chang‐Won Jeong (ORCID: https://orcid.org/0000-0002-9305-4686)
- Chul Park
- Sung Hyun Lee (ORCID: https://orcid.org/0000-0003-3849-0933)
Institutions
- Ulsan University Hospital (KR)
- Wonkwang University (KR)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-02-05
- DOI
- https://doi.org/10.1186/s12911-025-02900-4
- Citations
- 6
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 6.99
Funders
- National Research Foundation
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea
- Ulsan University Hospital