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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10366918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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