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Integrating Big Data and AI in Nutrition: Current Trends and Future Directions

Author

Listed:
  • Prantosh Kumar Paul

    (Raiganj University, India)

  • Abhijit Bandyopadhyay

    (Raniganj Institute of Computer and Information Science, India)

  • Mustafa Kayyali

    (Maaref University of Applied Sciences, Syria)

  • Nilanjan Das

    (Siliguri Institute of Technology, India)

  • Ritam Chatterjee

    (Raiganj University, India)

  • Sushil K. Sharma

    (Texas A&M University, Texarkana, USA)

Abstract

Food nutrition is the source of heat energy in human body. The human body obtains nutrients from food, such as proteins, fats, carbohydrates and so on. Nutrition is very important for human health. The technology is used in every sectors. Indeed, AI is emerging as an important tool in clinical nutrition using telematic means to self-monitor various health metrics, including blood glucose levels, body weight, heart rate, fat percentage, blood pressure, activity tracking and calorie intake trackers. In particular, the most common application of digital technology is in the area of nutrition. Data Analytics and similar technologies play a leading role, and here in this paper different aspect related to the Big-data and Artificial Intelligence with references to the Food and Nutritional Systems have been described with current and future scenario. The existing works related to the fields are well described and reported with major highlights.

Suggested Citation

  • Prantosh Kumar Paul & Abhijit Bandyopadhyay & Mustafa Kayyali & Nilanjan Das & Ritam Chatterjee & Sushil K. Sharma, 2025. "Integrating Big Data and AI in Nutrition: Current Trends and Future Directions," International Journal of Reliable and Quality E-Healthcare (IJRQEH), IGI Global, vol. 14(1), pages 1-22, January.
    • Handle: RePEc:igg:jrqeh0:v:14:y:2025:i:1:p:1-22
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    References listed on IDEAS

    as
    1. Saurabh Sharma & Vijay Kumar Gahlawat & Kumar Rahul & Rahul S Mor & Mohit Malik, 2021. "Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics," Logistics, MDPI, vol. 5(4), pages 1-16, September.
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