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AI dietician: Unveiling the accuracy of ChatGPT's nutritional estimations
M. Haman, M. Školník, M. Lošťák
Jazyk angličtina Země Spojené státy americké
Typ dokumentu časopisecké články
NLK
ProQuest Central
od 2003-01-01 do Před 2 měsíci
Nursing & Allied Health Database (ProQuest)
od 2003-01-01 do Před 2 měsíci
Health & Medicine (ProQuest)
od 2003-01-01 do Před 2 měsíci
Health Management Database (ProQuest)
od 2003-01-01 do Před 2 měsíci
Public Health Database (ProQuest)
od 2003-01-01 do Před 2 měsíci
- MeSH
- jídla MeSH
- lidé MeSH
- nutriční poradci * MeSH
- reprodukovatelnost výsledků MeSH
- umělá inteligence * MeSH
- živiny MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Spojené státy americké MeSH
We investigate the accuracy and reliability of ChatGPT, an artificial intelligence model developed by OpenAI, in providing nutritional information for dietary planning and weight management. The results have a reasonable level of accuracy, with energy values having the highest level of conformity: 97% of the artificial intelligence values fall within a 40% difference from United States Department of Agriculture data. Additionally, ChatGPT displayed consistency in its provision of nutritional data, as indicated by relatively low coefficient of variation values for each nutrient. The artificial intelligence model also proved efficient in generating a daily meal plan within a specified caloric limit, with all the meals falling within a 30% bound of the United States Department of Agriculture's caloric values. These findings suggest that ChatGPT can provide reasonably accurate and consistent nutritional information. Further research is recommended to assess the model's performance across a broader range of foods and meals.
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- $a Haman, Michael $u Department of Humanities, Faculty of Economics and Management, Czech University of Life Sciences Prague, Prague, Czech Republic. Electronic address: haman@pef.czu.cz
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- $a We investigate the accuracy and reliability of ChatGPT, an artificial intelligence model developed by OpenAI, in providing nutritional information for dietary planning and weight management. The results have a reasonable level of accuracy, with energy values having the highest level of conformity: 97% of the artificial intelligence values fall within a 40% difference from United States Department of Agriculture data. Additionally, ChatGPT displayed consistency in its provision of nutritional data, as indicated by relatively low coefficient of variation values for each nutrient. The artificial intelligence model also proved efficient in generating a daily meal plan within a specified caloric limit, with all the meals falling within a 30% bound of the United States Department of Agriculture's caloric values. These findings suggest that ChatGPT can provide reasonably accurate and consistent nutritional information. Further research is recommended to assess the model's performance across a broader range of foods and meals.<END ABSTRACT>.
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