Application status of artificial intelligence in whole-course nutrition management
10.3760/cma.j.cn115822-20240321-00054
- VernacularTitle:人工智能技术在全程营养管理中的应用现状
- Author:
Shanshan REN
1
;
Lili DING
;
Mingwei ZHU
Author Information
1. 北京医院 国家老年医学中心 中国医学科学院老年医学研究院临床营养科，北京 100730
- Keywords:
Artificial intelligence;
Whole-course nutrition management;
Malnutrition
- From:
Chinese Journal of Clinical Nutrition
2024;32(4):246-251
- CountryChina
- Language:Chinese
-
Abstract:
Whole-course nutrition management embodies a systematic, dynamic, and individualized approach to precise nutrition management, which could potentially improve patient outcomes. Artificial intelligence has seen advances in the application in medical settings, including nutrition, and its disruptive technology enables the optimization of nutrition management. The nutrition management modality augmented by artificial intelligence to some extent meets the need of comprehensive, dynamic, individualized, and precise nutrition management throughout the whole continuum. It not only facilitates nutrition screening and evaluation, nutritional diagnosis, and individualized treatment regimens, but also allows nutritional monitoring and corresponding dynamic adjustments for optimal nutritional treatment, to improve clinical outcomes. Our aim is to investigate the application and significance of artificial intelligence in the whole-course nutrition management.
