Disclosure of interest: Xinjie Gao: nothing to disclose Poster Session I - INTRACRANIAL HEMORRHAGE 02.00 - INTRACRANIAL HEMORRHAGE - 02.01 - INTRACEREBRAL HAEMORRHAGE P158 - ESOC25-1869 ACCURACY OF AUTOMATED HEMORRHAGE SUBTYPE DETECTION IN SUSPECTED INTRACEREBRAL HEMORRHAGE James Garrard 1,2 , Artem Kaliaev 3 , Asim Mian 3 , Chad Farris 3 , Pau Bellot 1 , Olivier Joly 1 , Zoe Woodhead 1 , James Briggs 1,4 , Davide Carone *1 , George Harston 1,2 , Mohamad Abdalkader 3 1 Brainomix, OXFORD, United Kingdom, 2 Oxford University Hospitals, OXFORD, United Kingdom, 3 Boston Medical Centre, Boston, United States, 4 Royal Berkshire Hospital, Reading, United Kingdom Background and Aims: Early identification of patients with intracerebral hemorrhage (ICH) is thought to be critical to improve outcomes through earlier implementation of evidence-based care-bundles
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