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Artificial Intelligence and Nursing in Management of Diabetes Mellitus

Sayı: 29 2 Ağustos 2026
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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

Herhangi bir proje desteği alınmamıştır.

Kaynakça

  1. 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.
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  5. 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. 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. 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. 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

Kaynak Göster

APA
Yeğin, G., & Karadağ, S. (2026). Artificial Intelligence and Nursing in Management of Diabetes Mellitus. Istanbul Gelisim University Journal of Health Sciences, 29, 178-186. https://doi.org/10.38079/igusabder.1873892
AMA
1.Yeğin G, Karadağ S. Artificial Intelligence and Nursing in Management of Diabetes Mellitus. IGUSABDER. 2026;(29):178-186. doi:10.38079/igusabder.1873892
Chicago
Yeğin, Gamze, ve Songül Karadağ. 2026. “Artificial Intelligence and Nursing in Management of Diabetes Mellitus”. Istanbul Gelisim University Journal of Health Sciences, sy 29: 178-86. https://doi.org/10.38079/igusabder.1873892.
EndNote
Yeğin G, Karadağ S (01 Ağustos 2026) Artificial Intelligence and Nursing in Management of Diabetes Mellitus. Istanbul Gelisim University Journal of Health Sciences 29 178–186.
IEEE
[1]G. Yeğin ve S. Karadağ, “Artificial Intelligence and Nursing in Management of Diabetes Mellitus”, IGUSABDER, sy 29, ss. 178–186, Ağu. 2026, doi: 10.38079/igusabder.1873892.
ISNAD
Yeğin, Gamze - Karadağ, Songül. “Artificial Intelligence and Nursing in Management of Diabetes Mellitus”. Istanbul Gelisim University Journal of Health Sciences. 29 (01 Ağustos 2026): 178-186. https://doi.org/10.38079/igusabder.1873892.
JAMA
1.Yeğin G, Karadağ S. Artificial Intelligence and Nursing in Management of Diabetes Mellitus. IGUSABDER. 2026;:178–186.
MLA
Yeğin, Gamze, ve Songül Karadağ. “Artificial Intelligence and Nursing in Management of Diabetes Mellitus”. Istanbul Gelisim University Journal of Health Sciences, sy 29, Ağustos 2026, ss. 178-86, doi:10.38079/igusabder.1873892.
Vancouver
1.Gamze Yeğin, Songül Karadağ. Artificial Intelligence and Nursing in Management of Diabetes Mellitus. IGUSABDER. 01 Ağustos 2026;(29):178-86. doi:10.38079/igusabder.1873892

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