Application of AI-assisted methodology to evaluate diet and ingredient formulations for rodent models in nutrition and health research.

Bruce A Watkins¹, Jeremy R Watkins², Andrew C Shin³, Guodong Zhang⁴, Eleonora Cremonini⁴, Surya Raj Niraula⁵, Robert B Rucker⁴

¹Department of Nutrition, University of California, Davis, CA. Electronic address: bawatkins@ucdavis.edu.

²Komodo Health, San Francisco, CA.

³Neurobiology of Nutrition Laboratory, Department of Nutritional Sciences, College of Health & Human Sciences, Texas Tech University, Lubbock, TX.

⁴Department of Nutrition, University of California, Davis, CA.

⁵Department of Nutritional Sciences, Texas Tech University, Lubbock, TX.

PubMed DOI

Abstract

The use of Artificial Intelligence (AI) for peer review is gaining interest by journals and editorial boards because of the length of time required for the scientific peer review process and large numbers of new submissions. The application of AI using a large language model (LLM) like OpenAI's ChatGPT is a valid, rapid means to search published articles that examine diets in rodent studies. The i…

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