Implementation of Fully Automated AI-Integrated System for Body Composition Assessment on Computed Tomography for Opportunistic Sarcopenia Screening: Multicenter Prospective Study
Implementation of the fully automated AI-integrated system significantly enhanced opportunistic sarcopenia screening, achieving excellent technical success and high segmentation accuracy without manual intervention. This system has the potential to transform routine health check-ups by providing rapid and accurate assessments of body composition.
Authors
- Seon Cho (ORCID: https://orcid.org/0000-0002-6432-5897)
- Seungwoo Khang (ORCID: https://orcid.org/0000-0002-5666-8216)
- Seongwon Na (ORCID: https://orcid.org/0009-0004-9742-5351)
- Yousun Ko (ORCID: https://orcid.org/0000-0002-2181-9555)
- In-One Kim (ORCID: https://orcid.org/0000-0001-5800-3536)
- Heeryeol Jeong (ORCID: https://orcid.org/0000-0003-1031-1032)
- Eun-Hee Lee
- Bushra Urooj (ORCID: https://orcid.org/0009-0008-5660-167X)
- Kyung Won Kim (ORCID: https://orcid.org/0000-0002-1532-5970)
- Jeongjin Lee (ORCID: https://orcid.org/0000-0002-4151-6922)
Institutions
- Soongsil University (KR)
- Asan Medical Center (KR)
- University of Ulsan (KR)
- Korea Association of Health Promotion (KR)
Publication Details
- Journal
- JMIR Formative Research
- Published
- 2025-06-02
- DOI
- https://doi.org/10.2196/69940
- Citations
- 4
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 4.66