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The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment

In the last decade, artificial intelligence (AI) and AI-mediated technologies have undergone rapid evolution in healthcare and medicine, from apps to computer software able to analyze medical images, robotic surgery and advanced data storage system. The main aim of the present commentary is to brief...

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Autores principales: Salinari, Alessia, Machì, Michele, Armas Diaz, Yasmany, Cianciosi, Danila, Qi, Zexiu, Yang, Bei, Ferreiro Cotorruelo, Maria Soledad, Villar, Santos Gracia, Dzul Lopez, Luis Alonso, Battino, Maurizio, Giampieri, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366918/
https://www.ncbi.nlm.nih.gov/pubmed/37489449
http://dx.doi.org/10.3390/diseases11030097
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author Salinari, Alessia
Machì, Michele
Armas Diaz, Yasmany
Cianciosi, Danila
Qi, Zexiu
Yang, Bei
Ferreiro Cotorruelo, Maria Soledad
Villar, Santos Gracia
Dzul Lopez, Luis Alonso
Battino, Maurizio
Giampieri, Francesca
author_facet Salinari, Alessia
Machì, Michele
Armas Diaz, Yasmany
Cianciosi, Danila
Qi, Zexiu
Yang, Bei
Ferreiro Cotorruelo, Maria Soledad
Villar, Santos Gracia
Dzul Lopez, Luis Alonso
Battino, Maurizio
Giampieri, Francesca
author_sort Salinari, Alessia
collection PubMed
description In the last decade, artificial intelligence (AI) and AI-mediated technologies have undergone rapid evolution in healthcare and medicine, from apps to computer software able to analyze medical images, robotic surgery and advanced data storage system. The main aim of the present commentary is to briefly describe the evolution of AI and its applications in healthcare, particularly in nutrition and clinical biochemistry. Indeed, AI is revealing itself to be an important tool in clinical nutrition by using telematic means to self-monitor various health metrics, including blood glucose levels, body weight, heart rate, fat percentage, blood pressure, activity tracking and calorie intake trackers. In particular, the application of the most common digital technologies used in the field of nutrition as well as the employment of AI in the management of diabetes and obesity, two of the most common nutrition-related pathologies worldwide, will be presented.
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spelling pubmed-103669182023-07-26 The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment Salinari, Alessia Machì, Michele Armas Diaz, Yasmany Cianciosi, Danila Qi, Zexiu Yang, Bei Ferreiro Cotorruelo, Maria Soledad Villar, Santos Gracia Dzul Lopez, Luis Alonso Battino, Maurizio Giampieri, Francesca Diseases Commentary In the last decade, artificial intelligence (AI) and AI-mediated technologies have undergone rapid evolution in healthcare and medicine, from apps to computer software able to analyze medical images, robotic surgery and advanced data storage system. The main aim of the present commentary is to briefly describe the evolution of AI and its applications in healthcare, particularly in nutrition and clinical biochemistry. Indeed, AI is revealing itself to be an important tool in clinical nutrition by using telematic means to self-monitor various health metrics, including blood glucose levels, body weight, heart rate, fat percentage, blood pressure, activity tracking and calorie intake trackers. In particular, the application of the most common digital technologies used in the field of nutrition as well as the employment of AI in the management of diabetes and obesity, two of the most common nutrition-related pathologies worldwide, will be presented. MDPI 2023-07-13 /pmc/articles/PMC10366918/ /pubmed/37489449 http://dx.doi.org/10.3390/diseases11030097 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Commentary
Salinari, Alessia
Machì, Michele
Armas Diaz, Yasmany
Cianciosi, Danila
Qi, Zexiu
Yang, Bei
Ferreiro Cotorruelo, Maria Soledad
Villar, Santos Gracia
Dzul Lopez, Luis Alonso
Battino, Maurizio
Giampieri, Francesca
The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment
title The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment
title_full The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment
title_fullStr The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment
title_full_unstemmed The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment
title_short The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment
title_sort application of digital technologies and artificial intelligence in healthcare: an overview on nutrition assessment
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10366918/
https://www.ncbi.nlm.nih.gov/pubmed/37489449
http://dx.doi.org/10.3390/diseases11030097
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