人工智能在营养评估中的应用研究进展

Progress on the application of artificial intelligence in nutritional assessment

人工智能逐渐成为临床营养领域的重要工具,不仅能够简化目前的膳食评估方法,还可通过机器学习算法构建精准营养评估模型。移动应用程序和可穿戴设备等数字技术和设备提升了膳食营养评估的可及性,使用移动应用程序能基于食物图像和视频进行方便快捷的膳食营养评估,即时输出摄入营养素的种类和含量,而可穿戴设备能通过监测体液中生物标志物浓度的变化,实时反馈个体动态的营养素摄入量及吸收量。机器学习的营养评估方法可提升营养不良诊断的准确性,还可用于预测肠内营养不耐受等不良事件,指导营养干预和预后预测。

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.