Multicenter study shows machine learning predicts rebleeding risk and recovery in intracerebral hemorrhage patients, suggesting improved treatment decisions.
Machine learning prediction models validated across multiple centers can accurately assess the risk of IOR and postoperative functional recovery in ICH patients, thereby guiding individualized treatment decisions and potentially improving patient outcomes.
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Xiang et al. (2026) studied this question.
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