Artificial Intelligence and Nursing in Management of Diabetes Mellitus
Öz
The morbidity, mortality, and economic burden associated with diabetes mellitus and its complications make it an important health concern. Artificial intelligence, becoming prominent in today’s advancing technology, refers to application systems or machines capable of imitating human cognitive functions and enhancing their performance with the data they acquire. Artificial intelligence can provide data-oriented, sensitive treatment and care methods in addition to existing methods, resulting in a paradigm shift in management of diabetes mellitus. Artificial intelligence-based virtual assistants offer people 24/7 service and answer their questions instantly, send reminders, and provide educational materials. They play an important role particularly in monitoring patients’ blood glucose levels and reminding them to take their medications. Continuous and individualized support helps patients comply with treatment and keep their blood glucose levels under control; thus, enhancing their quality of life and ability to cope with diabetes mellitus.
Anahtar Kelimeler
Proje Numarası
Kaynakça
- 1. Guan Z, Li H, Liu R, et al. Artificial intelligence in diabetes management: Advancements, opportunities, and challenges. Cell Rep Med. 2023;4(10):101213.
- 2. Cleveland Clinic. Diabetes: what It Is, Causes, Symptoms, Treatment & Types. 2023; Available from: https://my.clevelandclinic.org/health/diseases/7104-diabetes
- 3. Ceviz A, Özden G. Diyabet yönetiminde yapay zeka destekli sanal hemşirelerin rolü ve geleceği. Artuklu Health. 2025;11:80-87.
- 4. McCarthy J, Minsky ML, Shannon CE. A proposal for the Dartmouth summer research project on artificial intelligence. AI Mag. 2006;27:12–14.
- 5. Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2:230-43.
- 6. Li J, Huang J, Zheng L, Li X. Application of artificial intelligence in diabetes education and management: present status and promising prospect. Frontiers in Public Health. 2020;8:2296-2565.
- 7. İşcan H, Durgun Kaygısız A. Yapay zekâ: alt dalları ve uygulama alanları. Aksaray Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi. 2024;16(4):201-234.
- 8. Hoşgör H, Güngördü H. A Qualitative study on the areas of use of artificial intelligence in healthcare. European Journal of Science and Technology. 2022;35:395 407.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Dijital Sağlık
Bölüm
Derleme
Yayımlanma Tarihi
2 Ağustos 2026
Gönderilme Tarihi
28 Ocak 2026
Kabul Tarihi
29 Haziran 2026
Yayımlandığı Sayı
Yıl 2026 Sayı: 29