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This review aims to map current digital twin applications in diabetes management and synthesize evidence across various research questions.

June 20, 2026JMIR DiabetesOpen Access

Digital Twin Applications in Diabetes Management: Scoping Review

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Scoping review maps applications of digital twins in diabetes care, highlighting personalization and decision support implications.

This review aims to map current digital twin applications in diabetes management and synthesize evidence across various research questions.
Conducted in accordance with PRISMA-ScR and JBI guidelines for scoping reviews.
Literature search performed across multiple databases, identifying original empirical articles on digital twin systems in diabetes.
Data were synthesized descriptively and thematically based on 13 predefined research questions.
28 studies included, primarily focusing on type 1 and type 2 diabetes.
Common applications involved therapeutic control, glucose prediction, and decision support with dominant data inputs from wearables and continuous glucose monitoring.
Validation methods were mainly retrospective, with key outcomes including improved hemoglobin A1c and time-in-range findings.

Rad et al. (2026) studied this question.

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