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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Malaguarnera M, Gargante MP, Russo C, Antic T, Vacante M, Malaguarnera M, et al
The two get lumped together constantly, yet they are not really rivals, and treating the choice as a winner take all contest usually leads to the wrong plan
