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ChatGPT in Nutrition: Trends Challenges and Future Directions

Authors: Tsiantis, Vasileios; Konstantinidis, Dimitrios; Dimitropoulos, Kosmas;

ChatGPT in Nutrition: Trends Challenges and Future Directions

Abstract

A healthy and balanced diet is of paramount importance to the physical and psychological well-being of an individual, since unhealthy dietary choices have been linked with the occurrence of non-communicable diseases. Recent technological advances has led to the development of large language models, such as ChatGPT that has been widely adopted as a convenient tool for creating meal plans and obtaining nutritional information. This work aims to provide a thorough review of the scientific work performed so far regarding the use of ChatGPT in the field of nutrition. In this survey, the advantages and limitations of ChatGPT in different aspects of nutrition are pinpointed, while the challenges from the use of ChatGPT in nutrition are identified and discussed. Future research directions are also proposed to assist researchers towards the development of more effective nutrition recommendation systems.

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    5
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Top 10%