Artificial intelligence-driven assessment of sarcopenia in orthopedic geriatrics: technical progress and clinical implications.
Saved in:
| Title: | Artificial intelligence-driven assessment of sarcopenia in orthopedic geriatrics: technical progress and clinical implications. |
|---|---|
| Authors: | Pei T; Department of Medical Laboratory, Xianyang Central Hospital, Xianyang, Shaanxi, China., Lei Y; Department of Orthopedics I, Xi'an Daxing Hospital, Xi'an, Shaanxi, China., Gao Y; Department of Medical Laboratory, Xianyang Central Hospital, Xianyang, Shaanxi, China., Zhang M; Department of Medical Laboratory, Xianyang Central Hospital, Xianyang, Shaanxi, China., Xu T; Department of Medical Laboratory, Xianyang Central Hospital, Xianyang, Shaanxi, China., Yang W; Department of Human Anatomy, Histology and Embryology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China., Wen Q; Department of Medical Laboratory, Xianyang Central Hospital, Xianyang, Shaanxi, China., Liu Q; Department of Orthopedics, Xianyang Central Hospital, Xianyang, Shaanxi, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Mar 18; Vol. 17, pp. 1779448. Date of Electronic Publication: 2026 Mar 18 (Print Publication: 2026). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1664-2392 |
|---|---|
| DOI: | 10.3389/fendo.2026.1779448 |
