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.

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. - In: DISEASES. - ISSN 2079-9721. - 11:3(2023). [10.3390/diseases11030097]

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

Armas Diaz, Yasmany;Cianciosi, Danila;Battino, Maurizio
;
Giampieri, Francesca
2023-01-01

Abstract

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.
2023
deep learning; machine learning; mobile health applications; natural language processing; wearable trackers devices
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/323195
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