Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review

In industry 4.0, where the automation and digitalization of entities and processes are fundamental, artificial intelligence (AI) is increasingly becoming a pivotal tool offering innovative solutions in various domains. In this context, nutrition, a critical aspect of public health, is no exception to the fields influenced by the integration of AI technology. This study aims to comprehensively investigate the current landscape of AI in nutrition, providing a deep understanding of the potential of AI, machine learning (ML), and deep learning (DL) in nutrition sciences and highlighting eventual challenges and futuristic directions. A hybrid approach from the systematic literature review (SLR) guidelines and the…

• IT
  Iran Telecommunication Research Center
• MO
  Ministry of Science and ICT, South Korea

  Awards: 1711175863, 2022-0-01091
• IF
  Institute for Information and Communications Technology Promotion

  Award: 2022-