[Symposium] AI in Diabetic Management

22 Mar 2026 14:00 15:30
201AF
Jae Hoon MoonSouth Korea Moderator A New Era of Managing Thyroid Eye Disease: AI-Based Quantitative Monitoring and Precision CareThyroid Eye Disease (TED) is the most common extrathyroidal manifestation of autoimmune thyroid dysfunction, occurring in approximately 30% to 50% of patients with Graves’ disease. While endocrinologists primarily manage thyroid dysfunction, TED can severely impact a patient’s quality of life through vision loss, diplopia, and cosmetic concerns, necessitating active early intervention. Consequently, it is crucial for clinicians to be proficient in basic TED assessments for early diagnosis; however, many endocrinologists remain unfamiliar with these evaluations, which often leads to delayed treatment. To usher in a new era of managing TED, a paradigm shift toward AI-based quantitative monitoring and precision care is explored in this session. Fundamental assessment methods, including the Clinical Activity Score (CAS), exophthalmos, and Margin-Reflex-Distance 1 (MRD1), will be introduced alongside clinical cases where AI-driven solutions provide objective and reproducible data. These cutting-edge tools go beyond simple diagnostic assistance by quantitatively tracking disease progression and treatment response, thereby facilitating highly personalized treatment plans. By integrating these innovative AI solutions, a comprehensive approach to TED management is presented, demonstrating how technology and innovation converge to solve long-standing clinical challenges and improve patient outcomes.
Yao-Hsien TsengTaiwan Moderator
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Time Session
14:00
14:30
AI and Clinical Decision Support System (CDSS) for Type 1 Diabetes
Luqman IbrahimMalaysia Speaker AI and Clinical Decision Support System (CDSS) for Type 1 Diabetes
201AF
14:30
15:00
AI applications and insulin management
Iris Isip-TanPhilippines Speaker AI applications and insulin managementArtificial intelligence is evolving from novel research concepts to practical clinical tools. This presentation will provide a broad overview of the current AI ecosystem, from automated insulin delivery (AID) systems to machine learning algorithms designed for glucose prediction and clinical decision support. The unique regional perspective will be addressed, exploring how diverse healthcare infrastructures and reimbursement models influence the adoption of AI innovations. The discussion will conclude by identifying key challenges in implementation, such as algorithmic equity and data security, to outline a framework for the future integration of AI into daily practice.
201AF
15:00
15:30
Precision Diabetes Clustering for Young-Onset Diabetes (in Indonesia Populations)
Dicky L. TahaparyIndonesia Speaker Precision Diabetes Clustering for Young-Onset Diabetes (in Indonesia Populations)
201AF