人工智能时代：数字技术在临床营养中的应用
The Age of Artificial Intelligence: Use of Digital Technology in Clinical Nutrition.
作者信息
Limketkai Berkeley N, Mauldin Kasuen, Manitius Natalie, Jalilian Laleh, Salonen Bradley R
机构信息
Vatche & Tamar Manoukian Division of Digestive Diseases, UCLA School of Medicine, 100 UCLA Medical Plaza, Suite 345, Los Angeles, CA 90095 USA.
Department of Nutrition, Food Science, and Packaging, San José State University, San José, CA USA.
出版信息
Curr Surg Rep. 2021;9(7):20. doi: 10.1007/s40137-021-00297-3. Epub 2021 Jun 8.
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.
综述目的
几十年来计算机技术的进步推动了数字技术在医疗行业的广泛整合，如今临床营养领域也有了类似的应用。本综述讨论了此类技术在营养领域的应用，从移动应用程序和可穿戴技术的使用到肠外营养决策支持工具的开发，以及利用远程医疗进行营养状况的远程评估。
最新发现
移动应用程序和可穿戴技术为实时收集详细的营养相关数据提供了机会。机器学习使得对收集到的大量数据能够进行更复杂的分析。这些工具的结合也转化为了实际的临床应用，如决策支持工具、风险预测和饮食优化。
总结
临床营养数字技术的发展仍处于初期阶段，不过未来有很大的增长和变革潜力。
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