Review Article

Artificial Intelligence Use in Patients with Diabetes During Ramadan Fasting

Volume: 6 Number: 4 December 31, 2025
EN TR

Artificial Intelligence Use in Patients with Diabetes During Ramadan Fasting

Abstract

There is an increasing trend of observing Ramadan for people with diabetes (DM) although they are exempt from fasting. DM itself is also a growing epidemic in muslim people especially in the Middle-East and North Africa (MENA) Region. Hypoglycaemia (hypo), significant hyperglycaemia (glucose level equal or over than 300 mg/dl) are the cut off numbers to break the fast according to the international authorities. Not only these two, but dehydration, thrombosis, diabetic ketoacidosis and hyperosmolar non-ketotic coma are the fearful complications during the observance. Glycaemic control can be obtained with careful attention to the glucose readings throughout the day while taking into consideration of fasting and postprandial periods (after sahoor, and iftaar). Time in Range (TIR) as well as glucose variability are important factors, -lately emphasized for diabetes management other than Hba1c (A1c)- so as to get rid of later complications -macrovascular and microvascular ones- provoked by advanced glycation end-products (AGEP) and oxidative stress. Anxiety of everyday finger pricking for glucose measurement can be replaced with artificial intelligence (AI) used equipments for those who can afford. They are either part of continuous glucose monitoring systems (CGMS) or insulin pump delivery machines giving rise to less glucose spikes, less use of total insulin and smart warnings for hypo.

Keywords

Supporting Institution

N/A

Project Number

N/A

Ethical Statement

N/A

Thanks

To Prof Mohamed Hassenein (Gulf University, Dubai/UAE) who is the president of International Diabetes Federation, Diabetes and Ramadan (IDF-DaR) Alliance, bringing over 20 countries worldwide in order to serve better to people with diabetes fasting Ramadan and inviting Türkiye for international collaboration as well.

References

  1. 1. Hassanein M , Zainudin SB , Shaikh S ,Shaltout I ,Malek R, Buyukbese MA, et al. An update on the current characteristics and status of care for Muslims with type 2 diabetes fasting during Ramadan: the DAR global survey 2022. Curr Med Res Opin 2024;40(9):1515-23. doi: 10.1080/03007995.2024.2385057.
  2. 2. Hassanein M, Ahmedani MY, Shaltout I, Alabbood M, Buyukbese MA, Hafidh K, et al. Ramadan fasting among adults with type 2 diabetes in five geographically different regions of the world: The DAR 2020 global survey. Diabetes Epidemiology and Management 2024; 16:100229. https://doi.org/10.1016/j.deman.2024.100229.
  3. 3. Hassanein M, Afandi B, Ahmedani MY, Alamoudi RM, Alawadi F, Bajaj HS, et al. Diabetes and Ramadan: Practical guidelines 2021. Diabetes Res Clin Pract. Diabetes Res Clin Pract 2022;109185. doi: 10.1016/j.diabres.2021.109185.
  4. 4. Hassanein M, Alamoudi RM, Kallash MA, Aljohani NJ, Alfadhli EM, Tony LE, et al. Ramadan fasting in people with type 1 diabetes during COVID-19 pandemic: The DaR Global survey. Diabetes Res Clin Pract 2021;172:108626. doi: 10.1016/j.diabres.2020.108626.
  5. 5. Hassanein M, Hussein Z, Shaltout I, Wan Seman WJ, Tong CV, Mohd Noor N, et al. The DAR 2020 Global survey: Ramadan fasting during COVID-19 pandemic and the impact of older age on fasting among adults with Type 2 diabetes. Diabetes Res Clin Pract 2021;173:108674. doi: 10.1016/j.diabres.2021.108674.
  6. 6. Hassanein M, Al-Arouj M, Hamdy O, Bebakar WMW, Jabbar A, Al-Madani A, et al. Diabetes and Ramadan: Practical guidelines. Diabetes Res Clin Pract 2017;126:303-16. doi: 10.1016/j.diabres.2017.03.003.
  7. 7. Ibrahim M, Ba-Essa EM, Ahmed A, Ahmad E, Annabi FA, Chaabane H, et al. Recommendations for the Management of Diabetes During Ramadan Applying the Principles of the ADA/ EASD Consensus: Update 2025. Diabetes Metab Res Rev. 2025;41(5):e70057. doi: 10.1002/dmrr.70057.
  8. 8. https://diabetesatlas.org/resources/idf-diabetes-atlas-2025/. (Access date:July 13, 2025).

Details

Primary Language

English

Subjects

Bioinformatics and Computational Biology (Other), Glycobiology, Endocrinology, ​Internal Diseases, Metabolic Medicine

Journal Section

Review Article

Early Pub Date

December 31, 2025

Publication Date

December 31, 2025

Submission Date

August 10, 2025

Acceptance Date

November 17, 2025

Published in Issue

Year 2025 Volume: 6 Number: 4

APA
Büyükbeşe, M. A. (2025). Artificial Intelligence Use in Patients with Diabetes During Ramadan Fasting. Experimental and Applied Medical Science, 6(4), 372-383. https://doi.org/10.46871/eams.1762008
AMA
1.Büyükbeşe MA. Artificial Intelligence Use in Patients with Diabetes During Ramadan Fasting. Exp Appl Med Sci. 2025;6(4):372-383. doi:10.46871/eams.1762008
Chicago
Büyükbeşe, Mehmet Akif. 2025. “Artificial Intelligence Use in Patients With Diabetes During Ramadan Fasting”. Experimental and Applied Medical Science 6 (4): 372-83. https://doi.org/10.46871/eams.1762008.
EndNote
Büyükbeşe MA (December 1, 2025) Artificial Intelligence Use in Patients with Diabetes During Ramadan Fasting. Experimental and Applied Medical Science 6 4 372–383.
IEEE
[1]M. A. Büyükbeşe, “Artificial Intelligence Use in Patients with Diabetes During Ramadan Fasting”, Exp Appl Med Sci, vol. 6, no. 4, pp. 372–383, Dec. 2025, doi: 10.46871/eams.1762008.
ISNAD
Büyükbeşe, Mehmet Akif. “Artificial Intelligence Use in Patients With Diabetes During Ramadan Fasting”. Experimental and Applied Medical Science 6/4 (December 1, 2025): 372-383. https://doi.org/10.46871/eams.1762008.
JAMA
1.Büyükbeşe MA. Artificial Intelligence Use in Patients with Diabetes During Ramadan Fasting. Exp Appl Med Sci. 2025;6:372–383.
MLA
Büyükbeşe, Mehmet Akif. “Artificial Intelligence Use in Patients With Diabetes During Ramadan Fasting”. Experimental and Applied Medical Science, vol. 6, no. 4, Dec. 2025, pp. 372-83, doi:10.46871/eams.1762008.
Vancouver
1.Mehmet Akif Büyükbeşe. Artificial Intelligence Use in Patients with Diabetes During Ramadan Fasting. Exp Appl Med Sci. 2025 Dec. 1;6(4):372-83. doi:10.46871/eams.1762008

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