The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition
| Autor: | Bradley R. Salonen, Kasuen Mauldin, Laleh Jalilian, Natalie Manitius, Berkeley N Limketkai |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0303 health sciences
030309 nutrition & dietetics business.industry Wearables Mobile apps Wearable computer Clinical nutrition Telehealth Parenteral nutrition Data science Digital health 03 medical and health sciences 0302 clinical medicine Decision support tools Nutrition Metabolism and Surgery (K Miller Section Editor) Machine learning Medicine Surgery 030212 general & internal medicine InformationSystems_MISCELLANEOUS business Enteral nutrition Wearable technology Nutrition |
| Zdroj: | Current Surgery Reports |
| ISSN: | 2167-4817 |
| Popis: | Purpose of review Computing advances over the decades have catalyzed the pervasive integration of digital technology in the medical industry, now followed by similar applications for clinical nutrition. This review discusses the implementation of such technologies for nutrition, ranging from the use of mobile apps and wearable technologies to the development of decision support tools for parenteral nutrition and use of telehealth for remote assessment of nutrition. Recent findings Mobile applications and wearable technologies have provided opportunities for real-time collection of granular nutrition-related data. Machine learning has allowed for more complex analyses of the increasing volume of data collected. The combination of these tools has also translated into practical clinical applications, such as decision support tools, risk prediction, and diet optimization. Summary The state of digital technology for clinical nutrition is still young, although there is much promise for growth and disruption in the future. |
| Databáze: | OpenAIRE |
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