eprintid: 8036 rev_number: 9 eprint_status: archive userid: 2 dir: disk0/00/00/80/36 datestamp: 2023-07-17 23:30:17 lastmod: 2023-07-17 23:30:18 status_changed: 2023-07-17 23:30:17 type: article metadata_visibility: show creators_name: Salinari, Alessia creators_name: Machì, Michele creators_name: Armas Diaz, Yasmany creators_name: Cianciosi, Danila creators_name: Qi, Zexiu creators_name: Yang, Bei creators_name: Ferreiro Cotorruelo, Maria Soledad creators_name: Gracia Villar, Santos creators_name: Dzul López, Luis Alonso creators_name: Battino, Maurizio creators_name: Giampieri, Francesca creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: santos.gracia@uneatlantico.es creators_id: luis.dzul@uneatlantico.es creators_id: maurizio.battino@uneatlantico.es creators_id: francesca.giampieri@uneatlantico.es title: The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment ispublished: pub subjects: uneat_bm subjects: uneat_eng divisions: uneatlantico_produccion_cientifica divisions: uninimx_produccion_cientifica divisions: uninipr_produccion_cientifica divisions: unic_produccion_cientifica full_text_status: public keywords: deep learning; machine learning; mobile health applications; natural language processing; wearable trackers devices note: COMENTARIO, no artículo de investigación 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. date: 2023-07 publication: Diseases volume: 11 number: 3 pagerange: 97 id_number: doi:10.3390/diseases11030097 refereed: TRUE issn: 2079-9721 official_url: http://doi.org/10.3390/diseases11030097 access: open language: en citation: Artículo Materias > Biomedicina Materias > Ingeniería Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Producción Científica Universidad Internacional Iberoamericana Puerto Rico > Investigación > Producción Científica Universidad Internacional do Cuanza > Investigación > Producción Científica Abierto Inglés 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. metadata Salinari, Alessia; Machì, Michele; Armas Diaz, Yasmany; Cianciosi, Danila; Qi, Zexiu; Yang, Bei; Ferreiro Cotorruelo, Maria Soledad; Gracia Villar, Santos; Dzul López, Luis Alonso; Battino, Maurizio y Giampieri, Francesca mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es (2023) The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment. Diseases, 11 (3). p. 97. ISSN 2079-9721 document_url: http://repositorio.unib.org/id/eprint/8036/1/diseases-11-00097-v2.pdf