@article{uninimx8036,
           month = {Julio},
          number = {3},
           pages = {97},
            year = {2023},
         journal = {Diseases},
          author = {Alessia Salinari and Michele Mach{\`i} and Yasmany Armas Diaz and Danila Cianciosi and Zexiu Qi and Bei Yang and Maria Soledad Ferreiro Cotorruelo and Santos Gracia Villar and Luis Alonso Dzul L{\'o}pez and Maurizio Battino and Francesca Giampieri},
          volume = {11},
           title = {The Application of Digital Technologies and Artificial Intelligence in Healthcare: An Overview on Nutrition Assessment},
            note = {COMENTARIO, no art{\'i}culo de investigaci{\'o}n},
             url = {http://repositorio.unini.edu.mx/id/eprint/8036/},
        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.},
        keywords = {deep learning; machine learning; mobile health applications; natural language processing; wearable trackers devices}
}