Dietitians' Views on Artificial Intelligence: An In-Depth Study
Öz
Aim: Today, the use of artificial intelligence technologies is becoming increasingly common in many areas from health services to nutrition planning. The aim of this study is to explore dietitians' perceptions, experiences, and professional perspectives on the role of artificial intelligence in the field of nutrition.
Method: In this qualitative study, online in-depth interviews were conducted with 29 dietitians working in different sectors between March 27 and April 28, 2025. In the interviews lasting 15-20 minutes, a semi-structured topic guide consisting of 10 questions was used. Transcripts were analyzed using the thematic analysis method.
Results: Dietitians' statements were evaluated under the themes of (1) professional transformation and the role of artificial intelligence, (2) ethics, trust and professional responsibility, (3) professional competence, education and adaptation, (4) Scientific validity, reliability and personalization. Dietitians evaluated artificial intelligence as a helpful tool that saves time and facilitates routine tasks, but emphasized that human interaction, empathetic communication, and ethical responsibility cannot be replaced by technology. Although it is thought that artificial intelligence will lead to a radical change in the field of nutrition, there are concerns about issues such as patient privacy, ethical values, and lack of scientific evidence.
Conclusion: To our knowledge, this is the first study in Türkiye to explore dietitians’ perspectives on artificial intelligence in nutrition. This study shows that artificial intelligence presents both risks and opportunities in the dietitian profession, and draws attention to the fact that professionals should be equipped in terms of knowledge, ethics and digital competence in this transformation process.
Anahtar Kelimeler
Destekleyen Kurum
Proje Numarası
Etik Beyan
Teşekkür
Kaynakça
- 1. Azer SA, Guerrero APS. The challenges imposed by artificial intelligence: Are we ready in medical education? BMC Med Educ. 2023;23:680.
- 2. Hans D, Shevroja E, Leslie WD. Evolution in fracture risk assessment: Artificial versus augmented intelligence. Osteoporos Int. 2021;32(2):209-212.
- 3. Monteith S, Glenn T, Geddes J, Whybrow PC, Achtyes E, Bauer M. Expectations for artificial intelligence (AI) in psychiatry. Curr Psychiatry Rep. 2022;24(11):709-721.
- 4. Sullivan BA, Kausch SL, Fairchild KD. Artificial and human intelligence for early identification of neonatal sepsis. Pediatr Res. 2023;93(2):350-356.
- 5. Maheshwari K, Cywinski JB, Papay F, Khanna AK, Mathur P. Artificial intelligence for perioperative medicine: Perioperative intelligence. Anesth Analg. 2023;136(4):637-645.
- 6. Cerchia C, Lavecchia A. New avenues in artificial-intelligence-assisted drug discovery. Drug Discov Today. 2023;28(4):103516.
- 7. Fu J, Gao Q, Li S. Application of intelligent medical sensing technology. Biosensors (Basel). 2023;13(8):812.
- 8. Pepito JA, Ito H, Betriana F, Tanioka T, Locsin RC. Intelligent humanoid robots expressing artificial humanlike empathy in nursing situations. Nurs Philos. 2020;21(4):e12318.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Dijital Sağlık
Bölüm
Araştırma Makalesi
Yazarlar
Elif Güner
*
0000-0003-0575-5587
Türkiye
Kübra Yuca
0009-0006-6533-5815
Türkiye
Emel Öztürk
Bu kişi benim
0009-0008-0027-7700
Türkiye
Berfin Balcıoğlu
Bu kişi benim
0009-0002-3998-6367
Türkiye
Zeynep İrem Küçükçakan
Bu kişi benim
0009-0007-8022-6892
Türkiye
Yayımlanma Tarihi
2 Ağustos 2026
Gönderilme Tarihi
13 Eylül 2025
Kabul Tarihi
29 Haziran 2026
Yayımlandığı Sayı
Yıl 2026 Sayı: 29