The role of artificial intelligence in developing meal plans in outpatient dietetics: A feasibility and proof of concept study
Manpreet S. Mundi, Osman Mohamed Elfadil, Danelle A. Johnson, Christopher Schafer et autres
BACKGROUND: Personalized meal planning by registered dietitian nutritionists (RDNs) is time-intensive. Large language models (LLMs) may automate drafting meal plans, but their nutritional accuracy in clinical practice is uncertain. METHODS: In this proof-of-concept study, five outpatient RDNs and four LLMs (Gemini, CoPilot, …
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Nutrition in Clinical Practice