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Disclosure of interest: All authors: nothing to disclose Poster Session II - DIGITAL TRANSFORMATION, AI AND ROBOTICS 07.00 - DIGITAL TRANSFORMATION, AI AND ROBOTICS - 07.01 - TECHNOLOGY INNOVATIONS: ROBOTS, VIRTUAL REALITY, ARTIFICIAL INTELLIGENCE AND MORE P910 - ESOC25-521 RETINAL OCT/OCTA FOR DETECTING CEREBRAL LARGE ARTERY STENOSIS: A MACHINE LEARNING-BASED DIAGNOSTIC MODEL Hang Wang 1 , Le Cao 1 , William Robert Kwapong 1 , Yuying Yan 1 , Ruishan Liu 1 , Fayun Hu 1 , Bo Wu 1 1 West China Hospital, Sichuan University, Chengdu, China Background and Aims: Cerebral large artery stenosis (LAS) is a global health concern, associated with ischemic stroke and increased mortality

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