Artificial Intelligence in Clinical Nutrition: A Descriptive Comparison of ChatGPT‐ and Dietitian‐Planned Diets for Chronic Disease Scenarios
Tuba Onay, Duygu Bekar, Ezgi Çoban, Nergiz Doğan, Uğur Günşen
Abstract
PURPOSE: Nutrition-related chronic diseases are among the leading causes of morbidity and mortality worldwide. The increasing prevalence of obesity and changes in lifestyle and dietary behaviours have necessitated innovative approaches in nutritional care. In this context, artificial intelligence (AI) tools such as ChatGPT have emerged as potential aids in generating personalized dietary recommendations. However, their reliability and clinical utility remain underexplored. METHODS: This study aimed to assess the reliability and appropriateness of ChatGPT in creating diet plans for individuals with obesity and diet-related non-communicable chronic diseases. Dietary plans were generated by both a registered dietitian and ChatGPT for hypothetical individuals with identical clinical profiles and conditions. These plans were then evaluated comparatively in terms of nutritional adequacy, safety, individualization and practicality. RESULTS: ChatGPT-generated diets demonstrated notable deficiencies in meeting specific energy and nutrient requirements and lacked personalization based on individual health needs. In several cases, contraindicated foods were included. These findings highlight the potential risks of using AI tools in clinical dietetics without professional oversight. Ethical and safety considerations are critical when integrating AI into healthcare services. CONCLUSION: ChatGPT cannot currently substitute for individualized dietary counselling provided by qualified dietitians, particularly due to its inability to offer tailored motivation, emotional support or clinically safe recommendations. Nevertheless, further research is warranted to optimize the role of AI in diet planning and to enhance its integration into personalized nutrition care.