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Preprint reports CT model for brain haemorrhage prognosis

A retrospective preprint describes a machine-learning model that combines CT-derived radiomics with clinical information to predict outcomes after spontaneous intracerebral haemorrhage. The authors report improved performance over clinical and conventional imaging variables alone.