Artificial intelligence assisted food science and nutrition perspective for smart nutrition research and healthcare

Abstract

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.

Keywords

Artificial intelligence / Machine learning / Nutrition / Healthcare / Neural networks

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