The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application

K.H. Hart; S. Wilson-Barnes; K. Stefanidis; D. Tsatsou; L. Gynopoulos; K. Dimitropoulos; K. Rouskas; N. Argiriou; R. Leoni; D. Russell; J. Konstantinova; N. Merry; E. Lalama; A. Pfeiffer; M. Hassapidou; I. Pagkalos; E. Patra; R. Buys; V. Cornelissen; S. Balula Dias; A. Batista; E. Mantovani; B. Brkic; S. Lanham-New

doi:10.1017/S0029665122000374

Back

The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application

Journal article

Peer reviewed

The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application

K.H. Hart, S. Wilson-Barnes, K. Stefanidis, D. Tsatsou, L. Gynopoulos, K. Dimitropoulos, K. Rouskas, N. Argiriou, R. Leoni, D. Russell, …

Proceedings of the Nutrition Society, Vol.81(OCE1), E37

08/02/2022

DOI: https://doi.org/10.1017/S0029665122000374

Abstract

A healthy lifestyle is essential to prevent non-communicable diseases(Reference Ezzati and Riboli1) and new advances in information computer technology and artificial intelligence (AI) offer the possibility to create personalised tools to better support healthy living. This analysis aims to assess the appropriateness of AI recommended dietary goals as part of the EU PROTEIN project(Reference Wilson-Barnes, Gymnopoulos and Dimitropoulos2), which combines the latest AI technology with expertise in nutrition to develop an advanced and dynamic personalisation tool.

Metrics

Details

Title: The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application
Creators: K.H. Hart - University of Surrey
S. Wilson-Barnes - University of Surrey
K. Stefanidis - Centre for Research and Technology Hellas
D. Tsatsou - Centre for Research and Technology Hellas
L. Gynopoulos - Centre for Research and Technology Hellas
K. Dimitropoulos - Centre for Research and Technology Hellas
K. Rouskas - Centre for Research and Technology Hellas
N. Argiriou - Centre for Research and Technology Hellas
R. Leoni - Datamat
D. Russell - 4OCADO Technology, Hatfield, London, UK
J. Konstantinova - 4OCADO Technology, Hatfield, London, UK
N. Merry - 4OCADO Technology, Hatfield, London, UK
E. Lalama - Charité - Universitätsmedizin Berlin
A. Pfeiffer - Charité - Universitätsmedizin Berlin
M. Hassapidou - International Hellenic University
I. Pagkalos - International Hellenic University
E. Patra - International Hellenic University
R. Buys - KU Leuven
V. Cornelissen - KU Leuven
S. Balula Dias - University of Lisbon
A. Batista - Sport Lisboa e Benfica
E. Mantovani - Vrije Universiteit Brussel
B. Brkic - BioSense Institute
S. Lanham-New - University of Surrey
Publication Details: Proceedings of the Nutrition Society, Vol.81(OCE1), E37
Publisher: Cambridge University Press
Number of pages: 1
Publication Date: 08/02/2022
Grant note: This project has received funding from the [European Union's Horizon 2020 research and innovation programme] [European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme][Euratom research and training programme 2019–2020] under grant agreement No 817732
Identifiers: 99817657802346; WOS:000752457600005
Academic Unit: School of Biosciences
Language: English
Resource Type: Journal article

The suitability of dietary recommendations suggested By artificial intelligence technology via a novel personalised nutrition mobile application

Abstract

Metrics

Details

Usage Policy