Nutrition, Food Science and Packaging
Human and Clinical Nutrition | Telemedicine
Current Surgery Reports
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.
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.
The state of digital technology for clinical nutrition is still young, although there is much promise for growth and disruption in the future.
Nutrition, Parenteral nutrition, Enteral nutrition, Digital health, Machine learning, Wearables
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Berkeley K. Limketkai, Kasuen Mauldin, Natalie Manitius, Laleh Jalilian, and Bradley R. Salonen. "The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition" Current Surgery Reports (2021). https://doi.org/10.1007/s40137-021-00297-3