Original Articles

Early Stage Effectiveness of the Automated Insulin Delivery System—Is Artificial Intelligence Really Effective?

Volume 29 · Issue 2 Publish Date: March 3, 2025
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DOI
Ferhat Cetin ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Enver Sukru Goncuoglu ORCID
Turkish Diabetes Association NB Kadıköy Hospital, İstanbul, Türkiye
Saygin Abali ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Ilknur Arslanoglu ORCID
Deparment of Pediatric Endocrinology, Düzce University Research and Practice Hospital, Düzce, Türkiye
Oguzhan Deyneli ORCID
Deparment of Endocrinology, Koç University Hospital, İstanbul, Türkiye
Ozge Telci Caklili ORCID
Department of Endocrinology, Kocaeli City Hospital, Kocaeli, Türkiye
Hulya Yalin Turna ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Elif Sahiner ORCID
University of Health Sciences, Sultan Abdulhamid Research and Practice Hospital, İstanbul, Türkiye
Dila Guzel ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Mehmet Temel Yilmaz ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Cetin, F., Goncuoglu, E. S., Abali, S., Arslanoglu, I., Deyneli, O., Telci Caklili, O., … Yilmaz, M. T. (2025). Early Stage Effectiveness of the Automated Insulin Delivery System—Is Artificial Intelligence Really Effective?. Endocrinology Research and Practice, 29(2), 101–106. https://doi.org/10.5152/erp.2025.24618
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Abstract

Objective: This study aimed to evaluate the effectiveness of the self-learning capabilities of artificial intelligence (AI) algorithms. The hypothesis was that if the success of closed-loop insulin delivery is mainly attributed to AI algorithms, then the improvement in glycemic control would be more signifi cant just after the “learning” phase.

Methods: The Medtrum A8 TouchCare® Nano system was used on 15 patients with type 1 diabetes. Daily continuous glucose monitoring (CGM) data pre-automated insulin delivery (AID) was statisti cally compared with the post-AID period.

Results: Patients (median age 32 (6-54) years, 40% female) had a median HbA1c of 8.4% (5.3-10.7) before initiation of AID and a median GMI of 6.6% (5.8-8.3) after 2 weeks. The shifts in glycemia and glycemic variability between the 5-day period pre-AID vs. the first day and the 3 5-day periods post-AID were significant (pre-AID vs. 1-5-10-15 days; time in range (TIR, %): 55.9 vs. 76.6-81.7-83.8 81.5 (P = .001); Q1 (mg/dL): 123 vs. 112-108-106-110 (P = .009); Q3 (mg/dL): 204 vs. 176-173-168-169 (P = .004); inter-quarter range (IQR, mg/dL): 78 vs. 57.2-56.6-53-55 (P = .002)). The biggest shift in TIR was achieved in the first day (10.1%). Comparative analysis of the 5-day intervals post-AID was insig nificant by means of the improvement in glycemia (P > .05). No significant change in glycemic param eters between 15, 30, and 90 days were noted (P > .05).

Conclusion: Artificial intelligence-augmented AID becomes effective at the very early stages of initia tion. There is a need for further research into glycemic changes in the early days of AID initiation to better define the principles of initiating AID systems.

 

Cite this article as: Cetin F, Sukru Goncuoglu E, Abali S, et al. Early stage effectiveness of the automated insulin delivery system—is artificial intelligence really effective? Endocrinol Res Pract. Endocrinol Res Pract. 2025;29(2):101-106.

Article Info
Published In
Journal Endocrinology Research and Practice
Volume / Issue Volume 29 · Issue 2
Pages 101-106
History
Published Online March 3, 2025
Copyright
Affiliations
Ferhat Cetin ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Enver Sukru Goncuoglu ORCID
Turkish Diabetes Association NB Kadıköy Hospital, İstanbul, Türkiye
Saygin Abali ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Ilknur Arslanoglu ORCID
Deparment of Pediatric Endocrinology, Düzce University Research and Practice Hospital, Düzce, Türkiye
Oguzhan Deyneli ORCID
Deparment of Endocrinology, Koç University Hospital, İstanbul, Türkiye
Ozge Telci Caklili ORCID
Department of Endocrinology, Kocaeli City Hospital, Kocaeli, Türkiye
Hulya Yalin Turna ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Elif Sahiner ORCID
University of Health Sciences, Sultan Abdulhamid Research and Practice Hospital, İstanbul, Türkiye
Dila Guzel ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Mehmet Temel Yilmaz ORCID
Diabetes Research and Practice Center, Acıbadem University, İstanbul, Türkiye
Cite this Article
Cetin, F., Goncuoglu, E. S., Abali, S., Arslanoglu, I., Deyneli, O., Telci Caklili, O., … Yilmaz, M. T. (2025). Early Stage Effectiveness of the Automated Insulin Delivery System—Is Artificial Intelligence Really Effective?. Endocrinology Research and Practice, 29(2), 101–106. https://doi.org/10.5152/erp.2025.24618
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