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营养科学中的人工智能:平衡创新和道德责任

Marco Capocasa¹, Davide Venier²

¹Istituto Italiano di Antropologia, c/o Department of Environmental Biology, Sapienza University of Rome, Rome, Italy.

Nutrition and health

|September 8, 2025

概括

营养科学中的人工智能 (AI) 提供了个性化的指导,并改善了与饮食有关的疾病的护理. 负责任的实施需要解决数据质量,偏见,并确保道德,公平的访问.

科学领域:

营养科学营养科学
计算生物学计算生物学
医疗信息学医疗信息学

背景情况:

人工智能 (AI) 越来越多地被用于营养科学.
人工智能支持临床决策,预防疾病 (肥胖,2型糖尿病),并增强营养护理.
人工智能可以通过各种数据集分析提供高度个性化的营养指导.

研究的目的:

审查机器学习和图像识别在营养方面的应用.
突出AI在饮食评估和饮食规划方面的潜力.
通过人工智能驱动的工具来讨论增强患者参与和坚持.

主要方法:

专注于用于饮食评估的机器学习应用程序.
用图像识别工具来计划饮食.
检查移动应用程序功能和实时反机制.

主要成果:

人工智能工具可以显著提高饮食评估的准确性.
由人工智能生成的个性化饮食计划可以提高患者的坚持.
具有AI功能的移动应用程序显示出增加患者参与度的潜力.

结论:

人工智能在营养中的整合提供了巨大的好处,但也面临着挑战.
数据质量,算法透明度和数据集偏差是关键问题.
负责任的人工智能实施需要道德标准,跨学科合作和公平的准入.

关键词:

人工智能的人工智能是人工智能.算法偏差是一种算法偏差.数字健康工具数字健康工具伦理考虑伦理考虑个性化的营养个性化的营养

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