Can artificial intelligence simplify the screening of muscle mass loss?-Reference-Cited by-同舟云学术

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Can artificial intelligence simplify the screening of muscle mass loss?

Published:2023-05 Issue:5 Volume:9 Page:e16323
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Buccheri Enrico^ORCID,Dell’Aquila Daniele,Russo Marco^ORCID,Chiaramonte Rita,Musumeci Giuseppe^ORCID,Vecchio Michele

Funder

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference33 articles.

1. Sarcopenia;Cruz-Jentoft;Lancet,2019

2. Sarcopenia: European consensus on definition and diagnosis;Cruz-Jentoft;Age Ageing,2010

3. Sarcopenia: revised European consensus on definition and diagnosis;Cruz-Jentoft;Age Ageing,2019

4. The prevalence of sarcopenia in community-dwelling older adults, an exploration of differences between studies and within definitions: a systematic review and meta-analyses;Mayhew Aj Amog;Age Ageing,2019

5. Endocrine determinants of incident sarcopenia in middle-aged and elderly European men;Gielen;J. Cach. Sarcop. Muscle,2015

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Appendicular Skeletal Muscle Mass in Older Adults Can Be Estimated With a Simple Equation Using a Few Zero-Cost Variables;Journal of Geriatric Physical Therapy;2024-07-30

2. Damage for gain: The useful damage of the Pitcher's paradox;Heliyon;2024-02

3. Multidisciplinary approach to sarcopenia: a narrative review;Journal of Yeungnam Medical Science;2023-10-31

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