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Artificial intelligence assisted food science and nutrition perspective for smart nutrition research and healthcare
被引:2
|作者:
Joshi, Saloni
[1
]
Bisht, Bhawna
[1
]
Kumar, Vinod
[1
]
Singh, Narpinder
[1
]
Pasha, Shabaaz Begum Jameel
[2
]
Singh, Nardev
[3
]
Kumar, Sanjay
[1
]
机构:
[1] Graph Era Deemed Univ, Dept Food Sci & Technol, Dehra Dun 248002, Uttarakhand, India
[2] Graph Era Deemed Univ, Dept Microbiol, Dehra Dun 248002, Uttarakhand, India
[3] Graph Era Hill Univ, Sch Pharm, Dehra Dun 248002, Uttarakhand, India
来源:
关键词:
Artificial intelligence;
Machine learning;
Nutrition;
Healthcare;
Neural networks;
NEURAL-NETWORK;
BIG DATA;
RECOGNITION;
EXTRACTION;
ALGORITHM;
LEGAL;
D O I:
10.1007/s43393-023-00200-4
中图分类号:
Q81 [生物工程学(生物技术)];
Q93 [微生物学];
学科分类号:
071005 ;
0836 ;
090102 ;
100705 ;
摘要:
Artificial Intelligence (AI) has the potential to dramatically change the field of healthcare and nutrition by imitating human cognitive processes. This field involves smart machine-based applications, such as Machine Learning (ML), neural networks, and natural language processing to tackle and solve various issues. The current study's purpose is to highlight specific AI-based applications that are currently being employed in the fields of nutrition and healthcare. The published data from various search engines, such as PubMed/Medline, Google Scholar, Scopus, Web of Science, and Science Direct, were used for collecting the relevant data. The study depicts that there are several AI-based approaches and methods available for by improving diagnosis and treatment, lowering costs, and increasing access to healthcare facilities. Although AI cannot replace the personal touch, empathy, and emotional support provided by healthcare professionals. These approach assistances expanding rapidly are of great use. However, it is crucial to be careful and make sure that moral considerations are given top priority.
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页码:86 / 101
页数:16
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