A pilot study of the potential role of ChatGPT in stated-calorie diet planning
Yazarlar (2)
Serkan Aslan Türkiye
Dr. Öğr. Üyesi Saniye SÖZLÜ Tokat Gaziosmanpaşa Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | International Journal of Obesity (Q2) | ||
| Dergi ISSN | 0307-0565 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 09-2025 |
| Cilt / Sayı / Sayfa | 49 / 9 / 1891–1896 | DOI | 10.1038/s41366-025-01839-w |
| Makale Linki | https://doi.org/10.1038/s41366-025-01839-w | ||
| Özet |
| Developments 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. This 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. Only prompt-2 in the 500 calories 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 … |
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