TY - JOUR T1 - Can artificial intelligence replace dietitians? A conversation with ChatGPT AU - Ülker, Mutlu Tuçe AU - Güner, Elif PY - 2024 DA - July Y2 - 2024 DO - 10.58625/jfng-2474 JF - Toros University Journal of Food, Nutrition and Gastronomy JO - JFNG PB - Toros Üniversitesi WT - DergiPark SN - 2979-9511 SP - 49 EP - 56 VL - 3 IS - 1 LA - en AB - In this study, an interview was conducted with Generative Pre-Train (ChatGPT) in order to determine whether artificial intelligence can replace dietitians and its potential contributions to the field of Nutrition and Dietetics. Qualitative research method was used in the study and data was obtained using interview technique. The study includes 6 questions asked to version 3.5. of ChatGPT. Based on the answers given to the questions, ChatGPT has shown that it can benefit dietitians in providing basic nutritional information and helping to create nutrition plans. Nonetheless, artificial intelligence cannot fulfill the official duties and responsibilities of dietitians and cannot create disease- and individual-specific nutrition programs. ChatGPT, which is reported to provide theoretical resources as a contribution to Nutrition and Dietetics education, lacks personal experience and practical skills. Although ChatGPT contributes to dietitians, educators, and students in the field of nutrition and dietetics in different dimensions, it cannot replace dietitians. More research on the use of generative language models developed by artificial intelligence is necessary. KW - Artificial intelligence KW - Dietetics KW - Nutritional Sciences KW - Nutritionists CR - Dave, T., Athaluri, S. A., & Singh, S. (2023). ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations. Frontiers in Artificial Intelligence, 6, 1169595. https://doi.org/10.3389/frai.2023.1169595 CR - Briganti, G. (2023). How ChatGPT works: a mini-review. European Archives of Oto-Rhino-Laryngology, 281(3), 1565-1569. https://doi.org/10.1007/s00405-023-08337-7 CR - The International Confederation of Dietetic Associations. (2014). International Standards for Dietitians-Nutritionists. https://internationaldietetics.org/wp-content/uploads/2023/05/International-Standards-Definition-Dietitian-Nutriitionist-and-International-Education-Standard.pdf CR - Sağlık Meslek Mensupları ile Sağlık Hizmetlerinde Çalışan Diğer Meslek Mensuplarının İş ve Görev Tanımlarına Dair Yönetmelik. (2014, 22 May) Resmî Gazete. https://www.tdd.org.tr/Hakk%C4%B1m%C4%B1zda/T%C3%BCz%C3%BCk/tabid/21029/Default.aspx CR - Chatelan, A., Clerc, A., & Fonta, P. A. (2023). ChatGPT and Future Artificial Intelligence Chatbots: What may be the Influence on Credentialed Nutrition and Dietetics Practitioners? Journal of the Academy of Nutrition and Dietetics, 123(11), 1525–1531. https://doi.org/10.1016/j.jand.2023.08.001 CR - Liu, J., Wang, C., and Liu, S. (2023). Utility of ChatGPT in Clinical Practice. Journal of Medical Internet Research, 25, e48568. https://doi.org/10.2196/48568 CR - Niszczota, P., & Rybicka, I. (2023). The credibility of dietary advice formulated by ChatGPT: Robo-diets for people with food allergies. Nutrition, 112, 112076. https://doi.org/10.1016/j.nut.2023.112076 CR - Kirk, D., van Eijnatten, E., & Camps., G. (2023). Comparison of Answers between ChatGPT and Human Dieticians to Common Nutrition Questions. Journal of Nutrition and Metabolism. 2023, 5548684. https://doi.org/10.1155/2023/5548684 CR - Biswas, S. S. (2023). Role of Chat GPT in Public Health. Annals of Biomedical Engineering, 51(5), 868–869. https://doi.org/10.1007/s10439-023-03172-7 CR - Haman, M., Školník, M., & Lošťák, M. (2023). AI Dietitian: Unveiling the accuracy of ChatGPT’s nutritional estimations. Nutrition, 119, 112325. https://doi.org/10.1016/j.nut.2023.112325 CR - Barlas, T., Altinova, A. E., Akturk, M., & Toruner, F. B. (2023). Credibility of ChatGPT in the assessment of obesity in type 2 diabetes according to the guidelines. International Journal of Obesity, 48(2), 271-275. https://doi.org/10.1038/s41366-023-01410-5 CR - Arslan, S. (2023). Exploring the Potential of Chat GPT in Personalized Obesity Treatment. Annals of Biomedical Engineering, 51(9), 1887-1888. https://doi.org/10.1007/s10439-023-03227-9 CR - Khan, U. (2023). Revolutionizing Personalized Protein Energy Malnutrition Treatment: Harnessing the Power of Chat GPT. Annals of Biomedical Engineering, 52(5), 1125-1127. https://doi.org/10.1007/s10439-023-03331-w CR - Niszczota, P., & Rybicka, I. (2024). Author's response re. commentary on “The credibility of dietary advice formulated by ChatGPT: Robo-diets for people with food allergies” Nutrition, 119, 112296-112296. https://doi.org/10.1016/j.nut.2023.112296 CR - Qarajeh, A., Tangpanithandee, S., Thongprayoon, C., Suppadungsuk, S., Krisanapan, P., Aiumtrakul, N., Garcia Valencia, O. A., Miao, J., Qureshi, F., & Cheungpasitporn, W. (2023). AI-Powered Renal Diet Support: Performance of ChatGPT, Bard AI, and Bing Chat. Clinics and Practice, 13(5), 1160-1172. https://doi.org/10.3390/clinpract13050104 CR - Ruksakulpiwat, S., Kumar, A., & Ajibade, A. (2023). Using ChatGPT in Medical Research: Current Status and Future Directions. Journal of Multidisciplinary Healthcare, 16, 1513-1520. https://doi.org/10.2147/JMDH.S413470 CR - Sng, G. G. R., Tung, J. Y. M., Lim, D. Y. Z., & Bee, Y. M. (2023). Potential and Pitfalls of ChatGPT and Natural-Language Artificial Intelligence Models for Diabetes Education. Diabetes Care, 46(5), e103–e105. https://doi.org/10.2337/dc23-0197 CR - Eysenbach G. (2023). The Role of ChatGPT, Generative Language Models, and Artificial Intelligence in Medical Education: A Conversation With ChatGPT and a Call for Papers. JMIR Med Educ,9, e46885 https://doi.org/10.2196/46885 UR - https://doi.org/10.58625/jfng-2474 L1 - https://dergipark.org.tr/tr/download/article-file/3814881 ER -