Early stage effectiveness of the automated insulin delivery system—is artificial intelligence really effective?

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Organizasyon Birimleri

Dergi sayısı

Özet

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.

Açıklama

Anahtar Kelimeler

Artificial Pancreas, Glycemic Control, Automated Insulin Delivery, Type 1 Diabetes

Kaynak

Endocrinology Research and Practice

WoS Q Değeri

Scopus Q Değeri

Q4

Cilt

29

Sayı

2

Künye

Çetin, F., Göncüoğlu, E. Ş., Abalı, S., Arslanoğlu, İ., Deyneli, O., Telci Çaklılı, Ö., Yalın Turna, H., Şahiner, E., Güzel, D., & Yılmaz, M. T. (2025). Early stage effectiveness of the automated insulin delivery system—is artificial intelligence really effective?. Endocrinology Research and Practice, 29(2), pp. 101-106. https://doi.org/10.5152/erp.2025.24618