Visual body composition assessment methods: A 4-compartment model comparison of smartphone-based artificial intelligence for body composition estimation in healthy adults.

Graybeal, Austin J; Brandner, Caleb F; Tinsley, Grant M

Graybeal, Austin J; Brandner, Caleb F; Tinsley, Grant M.

Afiliación

Graybeal AJ; School of Kinesiology & Nutrition, College of Education and Human Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA. Electronic address: austin.graybeal@usm.edu.
Brandner CF; School of Kinesiology & Nutrition, College of Education and Human Sciences, University of Southern Mississippi, Hattiesburg, MS 39406, USA.
Tinsley GM; Department of Kinesiology & Sport Management, Texas Tech University, Lubbock, TX 79409, USA.

Clin Nutr ; 41(11): 2464-2472, 2022 11.

Article en En | MEDLINE | ID: mdl-36215866

Asunto(s)

Inteligencia Artificial; Teléfono Inteligente; Adulto; Humanos; Impedancia Eléctrica; Reproducibilidad de los Resultados; Composición Corporal; Absorciometría de Fotón/métodos

Palabras clave

Body composition assessment; Digital anthropometry; Machine learning; Mobile health; Obesity; Smartphone

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Teléfono Inteligente Tipo de estudio: Prognostic_studies Límite: Adult / Humans Idioma: En Revista: Clin Nutr Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido

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