DietAI24: A Novel LLM-Based Dietary Assessment Software From Food Images

guided by targeted prompts, can analyze and catalog rodent research by obtaining nutrient compositions, diet types, research objectives, and outcomes to facilitate future research and peer review.Methods: ChatGPT was used to interrogate published articles that used diets in rodent research (formulations, ingredients, and nutrients).Prompts identified experimental designs, methods, objectives, statistics, and findings for the research hypothesis.The model used was gpt-4o with rigid constraints using 'chow diet', purified diet', or 'semi-purified diet' to parse results in 2 phases.In the tuning phase, inference with ChatGPT models was done half well-defined studies and half less well-defined studies.In this phase, prompts were iteratively developed by evaluating ChatGPT inference results after each run.The testing phase ascertained if our results could scale to a larger sample of articles, which has the same occurrence of well-defined and less well-defined studies.Results: Our study confirms that ChatGPT can recover diet and ingredient information from rodent studies to validate experimental designs aimed at specific research objectives.The testing of prompts can be used to create rubrics for articles using diets in rodent studies.We found that subjecting articles to ChatGPT models via the API the files must be converted from pdf to raw text.The various ways a pdf can have formatted text presents challenges during this process which can yield poor results from GenAI models.Conclusions: ChatGPT can evaluate rodent diets and nutrients to assess study designs, research objectives, and validity for confirming findings.Applications of ChatGPT data can be used in peer review or in developing appropriate experimental designs for future nutrition research.Our study results fill the need for rapid and comprehensive literature searches of diets to improve experimental designs and information gathering for scientists performing nutrition and biomedical research with rodents.

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Publication Details

Journal
Current Developments in Nutrition
Published
2025-05-01
DOI
https://doi.org/10.1016/j.cdnut.2025.106906
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
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article

DietAI24: A Novel LLM-Based Dietary Assessment Software From Food Images

James Lu, Darren Liu, Hanqi Luo, Hu Xiao et al.
Current Developments in Nutrition
Nutritional Studies and Diet
article

DietAI24: A Novel LLM-Based Dietary Assessment Software From Food Images

James Lu, Darren Liu, Hanqi Luo, Hu Xiao, Runze Yan, Terry Hartman
article en

Abstract

guided by targeted prompts, can analyze and catalog rodent research by obtaining nutrient compositions, diet types, research objectives, and outcomes to facilitate future research and peer review.Methods: ChatGPT was used to interrogate published articles that used diets in rodent research (formulations, ingredients, and nutrients).Prompts identified experimental designs, methods, objectives, statistics, and findings for the research hypothesis.The model used was gpt-4o with rigid constraints using 'chow diet', purified diet', or 'semi-purified diet' to parse results in 2 phases.In the tuning phase, inference with ChatGPT models was done half well-defined studies and half less well-defined studies.In this phase, prompts were iteratively developed by evaluating ChatGPT inference results after each run.The testing phase ascertained if our results could scale to a larger sample of articles, which has the same occurrence of well-defined and less well-defined studies.Results: Our study confirms that ChatGPT can recover diet and ingredient information from rodent studies to validate experimental designs aimed at specific research objectives.The testing of prompts can be used to create rubrics for articles using diets in rodent studies.We found that subjecting articles to ChatGPT models via the API the files must be converted from pdf to raw text.The various ways a pdf can have formatted text presents challenges during this process which can yield poor results from GenAI models.Conclusions: ChatGPT can evaluate rodent diets and nutrients to assess study designs, research objectives, and validity for confirming findings.Applications of ChatGPT data can be used in peer review or in developing appropriate experimental designs for future nutrition research.Our study results fill the need for rapid and comprehensive literature searches of diets to improve experimental designs and information gathering for scientists performing nutrition and biomedical research with rodents.

Current Developments in NutritionVol. 9
Emory University (US)
Zero hunger
Openalex Percentile: Top 83%
Nutritional Studies and Diet
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