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doi: 10.1186/gm367

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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 P911 - ESOC25-2156 NOVEL AI-POWERED, TIME-ADJUSTED NET WATER UPTAKE IMAGING BIOMARKER DERIVED FROM NON-CONTRAST COMPUTED TOMOGRAPHY TO VISUALIZE EARLY INFARCTED TISSUE AND PREDICT REVERSAL POTENTIAL Jonathon Cummock 1,2,3 , Timea Hodics 4 , Rahul Ghosh 1,2,3,5 , John Volpi 4 , Stephen Wong 2,3,6 , Kelvin Wong 2,3,6 1 Texas A&M University College of Medicine, Bryan, United States, 2 Houston Methodist Hospital, Department of Systems Medicine and Bioengineering, Houston, United States, 3 Houston Methodist Academic Institute, The Ting Tsung and Wei Fong Chao Center for BRAIN, Houston, United States, 4 Houston Methodist Hospital, Department of Neurological Surgery and Neurological Institute, Houston, United States, 5 Texas A&M University College of Engineering, Department of Biomedical Engineering, College Station, United States, 6 Houston Methodist Hospital, Department of Radiology, Houston, United States Background and Aims: In acute ischemic stroke (AIS), net water uptake (NWU) is a method to quantify tissue edema to detect and visualize ischemia

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