Bayram Hatice Merve, Çelik Zehra Margot, Barcın Güzeldere Hatice Kübra
Department of Nutrition and Dietetics, Faculty of Health Science, Istanbul Gelisim University, Istanbul, Turkiye.
Department of Nutrition and Dietetics, Faculty of Health Science, Marmara University, Istanbul, Turkiye.
Nutr Health. 2025 Mar 20:2601060251329070. doi: 10.1177/02601060251329070.
BackgroundArtificial intelligence (AI), particularly Chat Generative Pre-Trained Transformer (ChatGPT), has been suggested as a tool for dietary planning in different diseases.AimThe study aimed to compare the energy, macro and micronutrients of the sample menu components presented by ChatGPT-4o and ChatGPT-4 for obesity with the Turkish Dietary Guidelines (TDG)-2022, evaluating their accuracy and clarity in medical nutrition management. Due to higher accuracy levels and the most preferred AI, ChatGPT-4o and ChatGPT-4 were selected for comparison.MethodsA comparative content analysis was conducted using ChatGPT-4o, and ChatGPT-4 to generate 1800 kcal daily diet plans for a 20-year-old female with obesity. AI models provided recommendations for dietary management, the nutrition care process, and menu planning. Three dietitians evaluated the outputs. Data were analyzed using SPSS 24.0.ResultsChatGPT-generated menus were inconsistent with dietary recommendations. Both ChatGPT-4o and ChatGPT-4 offered 5-day menu samples with low calorie content of "1800 kcal prompt" compared to the TDG-2022 ( < 0.001 for ChatGPT-4o). Additionally, key nutrients, particularly fats ( = 0.003), carbohydrates (%), potassium, and calcium ( < 0.05 for all) were inadequately compared to the TDG-2022. Nutrient analysis revealed that both models underperformed in meeting recommended intakes for critical micronutrients such as calcium, and had an unbalanced distribution of macronutrients.ConclusionChatGPT-4o and ChatGPT-4 have limitations when used to provide accurate dietary management. While AI chatbots offer useful insights, they cannot replace expertise of dietitians in clinical planning; as a result, caution is advised when using these tools in this context.
背景
人工智能(AI),特别是聊天生成预训练变换器(ChatGPT),已被建议作为不同疾病饮食规划的工具。
目的
本研究旨在比较ChatGPT-4o和ChatGPT-4为肥胖症提供的示例菜单成分中的能量、宏量营养素和微量营养素与《2022年土耳其饮食指南》(TDG),评估它们在医学营养管理中的准确性和清晰度。由于ChatGPT-4o和ChatGPT-4具有更高的准确性水平且是最受欢迎的人工智能,因此选择它们进行比较。
方法
使用ChatGPT-4o和ChatGPT-4进行了一项比较内容分析,为一名20岁肥胖女性生成每日1800千卡的饮食计划。人工智能模型提供了饮食管理、营养护理过程和菜单规划的建议。三名营养师对输出结果进行了评估。使用SPSS 24.0对数据进行分析。
结果
ChatGPT生成的菜单与饮食建议不一致。与TDG-2022相比,ChatGPT-4o和ChatGPT-4提供的5天菜单样本的“1800千卡提示”卡路里含量较低(ChatGPT-4o为<0.001)。此外,与TDG-2022相比,关键营养素,特别是脂肪(=0.003)、碳水化合物(%)、钾和钙(所有均<0.05)的含量不足。营养分析表明,这两种模型在满足钙等关键微量营养素的推荐摄入量方面表现不佳,并且宏量营养素分布不均衡。
结论
ChatGPT-4o和ChatGPT-4在用于提供准确的饮食管理时存在局限性。虽然人工智能聊天机器人提供了有用的见解,但它们不能取代营养师在临床规划中的专业知识;因此,在这种情况下使用这些工具时建议谨慎。