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

被引：13
|
作者：
Salinari, Alessia [1 ]
Machi, Michele [1 ]
Diaz, Yasmany Armas [1 ]
Cianciosi, Danila [1 ]
Qi, Zexiu [1 ]
Yang, Bei [1 ]
Cotorruelo, Maria Soledad Ferreiro [2 ]
Villar, Santos Gracia [3 ,4 ,5 ]
Lopez, Luis Alonso Dzul [3 ,4 ,6 ]
Battino, Maurizio [1 ,3 ,7 ]
Giampieri, Francesca [3 ]
机构：
[1] Polytech Univ Marche, Fac Med, Dept Clin Sci, I-60131 Ancona, Italy
[2] Azienda Osped Univ Marche, Direz Med Osped, I-60126 Ancona, Italy
[3] Univ Europea Atlantico, Res Grp Food Nutr Biochem & Hlth, Santander 39011, Spain
[4] Univ Int Iberoamer, Dept Projects, Campeche 24560, Mexico
[5] Univ Int Cuanza, Dept Extens, POB 841, Cuito, Angola
[6] Univ Int Iberoamer, Dept Projects, Arecibo, PR 00613 USA
[7] Jiangsu Univ, Int Res Ctr Food Nutr & Safety, Zhenjiang 212013, Peoples R China
来源：
DISEASES | 2023年 / 11卷 / 03期
关键词：
deep learning; machine learning; mobile health applications; natural language processing; wearable trackers devices; LOOP INSULIN DELIVERY; PERSONALIZED NUTRITION; MACHINE; ADOLESCENTS; OUTCOMES; SYSTEM; ADULTS; AGE;
D O I：
10.3390/diseases11030097
中图分类号：
R-3 [医学研究方法]; R3 [基础医学];
学科分类号：
1001 ;
摘要：
\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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收藏
页数：12
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