Progress on the application of artificial intelligence in nutritional assessment
10.3760/cma.j.cn115822-20240122-00014
- VernacularTitle:人工智能在营养评估中的应用研究进展
- Author:
Chengyu LIU
1
;
Moxi CHEN
;
Jianchun YU
Author Information
1. 中国医学科学院 北京协和医学院 北京协和医院基本外科，北京 100730
- Keywords:
Artificial intelligence;
Machine learning;
Nutritional assessment
- From:
Chinese Journal of Clinical Nutrition
2024;32(4):252-256
- CountryChina
- Language:Chinese
-
Abstract:
Artificial intelligence has gradually become an important tool in the field of clinical nutrition. Artificial intelligence can not only simplify the current dietary assessment methods, but also develop nutritional assessment models with favorable accuracy through machine learning. Digital technologies and devices such as mobile applications and wearable devices have expanded the accessibility of dietary nutritional assessment. Mobile applications can be used for convenient and quick dietary nutritional assessment based on food images and videos, with real-time output of the types and amount of nutrients. Wearable devices can provide real-time feedback of individual dynamic nutrient intake and absorption by monitoring the fluctuation of the levels of biomarkers in body fluids. Nutritional assessment based on machine learning can improve the accuracy of malnutrition diagnosis, predict adverse events such as enteral nutrition intolerance, and guide nutritional intervention and prognosis prediction.
