The Transformative Role of Artificial Intelligence in Diabetes Treatment

Rostami, Masoud; Anoosheh, Vida Sadat

doi:10.18502/ijdo.v16i2.15705

Volume 16, Issue 2 (6-2024) IJDO 2024, 16(2): 64-65 | Back to browse issues page

‎ 10.18502/ijdo.v16i2.15705

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Rostami M, Anoosheh V S. The Transformative Role of Artificial Intelligence in Diabetes Treatment. IJDO 2024; 16 (2) :64-65
URL: http://ijdo.ssu.ac.ir/article-1-869-en.html

The Transformative Role of Artificial Intelligence in Diabetes Treatment

Masoud Rostami

, Vida Sadat Anoosheh ^*

Department of Ergonomics, School of Health, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract: (412 Views)

Dear Editor,

am writing to draw attention to the remarkable advances of artificial intelligence (AI) in the field of diabetes treatment. Artificial intelligence (AI) and machine learning (ML) are revolutionizing the healthcare system, including diabetes care. The application of AI/ML has the potential ability expand the scope of diabetes care, making it more accessible and effective. The AI is proving to be a game-changer in managing and improving the lives of diabetic people.

Full-Text [PDF 269 kb] (210 Downloads)

Type of Study: Research | Subject: Special
Received: 2024/01/10 | Accepted: 2024/04/5 | Published: 2024/06/21

References

1. Liu J, Ren ZH, Qiang H, Wu J, Shen M, Zhang L, et al. Trends in the incidence of diabetes mellitus: results from the Global Burden of Disease Study 2017 and implications for diabetes mellitus prevention. BMC public health. 2020;20:1-2. [DOI:10.1186/s12889-020-09502-x]

2. Parker ED, Lin J, Mahoney T, Ume N, Yang G, Gabbay RA, et al. Economic costs of diabetes in the US in 2022. Diabetes Care. 2024;47(1):26-43. [DOI:10.2337/dci23-0085]

3. Kavakiotis I, Tsave O, Salifoglou A, Maglaveras N, Vlahavas I, Chouvarda I. Machine learning and data mining methods in diabetes research. Computational and structural biotechnology journal. 2017;15:104-16. [DOI:10.1016/j.csbj.2016.12.005]

4. Singla R, Singla A, Gupta Y, Kalra S. Artificial intelligence/machine learning in diabetes care. Indian journal of endocrinology and metabolism. 2019;23(4):495-7. [DOI:10.4103/ijem.IJEM_228_19]

5. Guan Z, Li H, Liu R, Cai C, Liu Y, Li J, et al. Artificial intelligence in diabetes management: advancements, opportunities, and challenges. Cell Reports Medicine. 2023. [DOI:10.1016/j.xcrm.2023.101213]

6. Heger KA, Waldstein SM. Artificial intelligence in retinal imaging: current status and future prospects. Expert review of medical devices. 2024;21(1-2):73-89. [DOI:10.1080/17434440.2023.2294364]

7. Ellahham S. Artificial intelligence: the future for diabetes care. The American journal of medicine. 2020;133(8):895-900. [DOI:10.1016/j.amjmed.2020.03.033]