TY  - JOUR
KW  - deep learning; machine learning; mobile health applications; natural language processing; wearable trackers devices
VL  - 11
IS  - 3
A1  - Salinari, Alessia
A1  - Machì, Michele
A1  - Armas Diaz, Yasmany
A1  - Cianciosi, Danila
A1  - Qi, Zexiu
A1  - Yang, Bei
A1  - Ferreiro Cotorruelo, Maria Soledad
A1  - Gracia Villar, Santos
A1  - Dzul López, Luis Alonso
A1  - Battino, Maurizio
A1  - Giampieri, Francesca
AV  - public
N1  - COMENTARIO, no artículo de investigación
SN  - 2079-9721
N2  - 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.
UR  - http://doi.org/10.3390/diseases11030097
JF  - Diseases
ID  - uninipr8036
Y1  - 2023/07//
TI  - The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment
ER  -