Evidence map›Paper›PMID 40628963›Full record

ArticleInternational journal of obesity (2005)2025

A pilot study of the potential role of ChatGPT in stated-calorie diet planning.

Serkan Aslan, Saniye Sozlu

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Article in International journal of obesity (2005), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Serkan AslanDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Erzurum Technical University, Erzurum, Turkey. serkanaslan43@gmail.com.ORCID http://orcid.org/0000-0002-5834-5074
Saniye SozluDepartment of Nutrition and Dietetics, Faculty of Health Sciences, Gaziosmanpasa University, Tokat, Turkey.ORCID http://orcid.org/0000-0003-1791-0003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesDevelopments in artificial intelligence encourage society to seek advice from artificial intelligence regarding nutrition recommendations, as in other health issues. There are not enough studies in this field. We hypothesized that ChatGPT would plan meals and daily diet within the specified calories with high accuracy. SUBJECTS/

methodsThis study used ChatGPT version 3.5, freely available to the public. ChatGPT was instructed to generate daily diet plans with 1500, 2000, and 2500 calories as well as recipes with 300, 500, and 700 calories (four distinct recipe prompts were utilized for each calorie group). The calories of the resulting recipes and diet plans were calculated using nutrition databases and compared with the actual value.

resultsOnly prompt-2 in the 500-calorie group showed a significant change (p < 0.05), although there was no significant difference in the four distinct recipe prompts in the 300, 500, and 700-calorie groups (p > 0.05). Among the diet plans provided by ChatGPT, there was no significant difference between the values of the 2500-calorie group and the actual calorie values in the control group (p > 0.05).

conclusionsAccording to these results, ChatGPT is more successful in creating recipe with the desired calories than daily diet planning. In this study, the calorie values of the diet plans and recipes provided by ChatGPT have demonstrated significant potential with their closeness to actual values. Further studies are needed to evaluate the reliability of ChatGPT in terms of nutritional science and the consumability of the recipes it provides.

Indexed as

Energy IntakeGenerative Artificial IntelligenceHumansPilot Projects

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.