Cargando…
goFOOD(TM): An Artificial Intelligence System for Dietary Assessment
Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOOD(TM). The system can estimate the calorie and macronutrient content of a meal, on the sole basis of food...
Autores principales: | Lu, Ya, Stathopoulou, Thomai, Vasiloglou, Maria F., Pinault, Lillian F., Kiley, Colleen, Spanakis, Elias K., Mougiakakou, Stavroula |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7436102/ https://www.ncbi.nlm.nih.gov/pubmed/32752007 http://dx.doi.org/10.3390/s20154283 |
Ejemplares similares
-
The Human Factor in Automated Image-Based Nutrition Apps: Analysis of Common Mistakes Using the goFOOD Lite App
por: Vasiloglou, Maria F, et al.
Publicado: (2021) -
The Nutritional Content of Meal Images in Free-Living Conditions—Automatic Assessment with goFOOD(TM)
por: Papathanail, Ioannis, et al.
Publicado: (2023) -
Evaluation of a Novel Artificial Intelligence System to Monitor and Assess Energy and Macronutrient Intake in Hospitalised Older Patients
por: Papathanail, Ioannis, et al.
Publicado: (2021) -
What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey
por: Vasiloglou, Maria F., et al.
Publicado: (2020) -
Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study
por: Vasiloglou, Maria F, et al.
Publicado: (2021)