The sports nutrition knowledge of large language model (LLM) artificial intelligence (AI) chatbots: An assessment of accuracy, completeness, clarity, quality of evidence, and test-retest reliability

While generative AI chatbots demonstrate potential in providing sports nutrition guidance, their accuracy is moderate at best and inconsistent between models. Until significant advancements are made, athletes and coaches should consult registered dietitians for tailored nutrition advice.

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Publication Details

Journal
PLoS ONE
Published
2025-06-13
DOI
https://doi.org/10.1371/journal.pone.0325982
Citations
3
Primary Topic
Muscle metabolism and nutrition
Type
article
Field-Weighted Citation Impact
3.45
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article

The sports nutrition knowledge of large language model (LLM) artificial intelligence (AI) chatbots: An assessment of accuracy, completeness, clarity, quality of evidence, and test-retest reliability

Matthew J. Laye, Thomas P. J. Solomon
3 citations
PLoS ONE
Muscle metabolism and nutrition
3.45
article

The sports nutrition knowledge of large language model (LLM) artificial intelligence (AI) chatbots: An assessment of accuracy, completeness, clarity, quality of evidence, and test-retest reliability

Matthew J. Laye, Thomas P. J. Solomon
article en
3 citations

Abstract

While generative AI chatbots demonstrate potential in providing sports nutrition guidance, their accuracy is moderate at best and inconsistent between models. Until significant advancements are made, athletes and coaches should consult registered dietitians for tailored nutrition advice.

PLoS ONEVol. 20(6)
American College of Veterinary Ophthalmologists (US), Amazon (United Kingdom) (GB)
Openalex Percentile: Top 8%
Muscle metabolism and nutrition
3.45
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