人工智能营养学家:智能软件作为下一代精密营养的先驱
Ying Liang1, Ran Xiao2, Fang Huang1
1National Engineering Research Center of Deep Processing of Rice and Byproducts, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, 410004, PR China.
Computers in biology and medicine
|June 9, 2024
概括
人工智能 (AI) 营养学家正在改进食物识别和饮食跟踪. 未来的人工智能营养工具将集成先进的人工智能,传感器和大数据,用于精确营养.
科学领域:
- 营养科学 营养科学
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 信息技术和人工智能正在推进智能食品营养工具.
- 现有的AI营养软件在方法,内容和策略方面存在差异.
- 需要全面的概述来指导AI营养学家的发展.
研究的目的:
- 总结和比较基于对象,内容,算法和函数的AI营养软件.
- 分析AI营养学家在各种应用中的优势,局限性和趋势.
- 确定人工智能在精准营养领域的未来方向.
主要方法:
- 近年来发布的177个人工智能营养学家软件的全面审查.
- 对象,内容,智能算法和实现功能的分析.
- 应用场景,优势和局限性的评估.
主要成果:
- 人工智能营养学家提高食物识别,饮食记录,营养评估和配方建议.
- 目前的人工智能营养学家通常表现出低水平的智力.
- 新兴趋势包括先进的AI算法,智能传感器和大数据,用于实时,精确的营养.
结论:
- 人工智能营养学家正在推进食品和营养管理,但目前的智能水平有限.
- 未来的人工智能营养学家可能会专注于分子水平的行为,并整合先进的技术.
- 多中心和多层次的研究对于人工智能在营养方面的进步至关重要.
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