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Disclosure of interest: Seongho Park : nothing to disclose Scientific Communications: AI 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE O - ESOC25-235 DEVELOPING A CLINICAL DECISION SUPPORT TOOL FOR STRATIFYING STROKE RISK IN PATIENTS PRESENTING WITH ACUTE DIZZINESS TO THE EMERGENCY DEPARTMENT Sheng-Feng Sung 1 , Ya-Han Hu 2 1 Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chiayi City, Taiwan, 2 Department of Information Management, National Central University, Taoyuan City, Taiwan Background and Aims: Acute dizziness is common in the emergency department (ED), with strokes accounting for 3–5% of cases
