Yao-Hsien TsengDr. Taiwan
Dr. Yao-Hsien Tseng currently serves as the Department Head of Metabolism and Deputy Department Head of Internal Medicine at Tung's Taichung MetroHarbor Hospital. He also holds an academic appointment as an Assistant Professor at the National Chung Hsing University, with joint appointments in the Department of Post-Baccalaureate Medicine and the Big Data Program.
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Dr. Tseng received his Ph.D. in Occupational Medicine from National Taiwan University and previously served as an Attending Physician at Taichung Veterans General Hospital for ten years. His primary areas of expertise include Diabetes, Endocrinology, and Data Science. A pioneer in interdisciplinary research, he actively investigates the application of Generative AI and machine learning in clinical medicine, alongside epidemiological studies on diabetic complications and cancer risks
22 MARCH
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14:00
15:30
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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.
201AF
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