Low-field (64 mT) point-of-care (POC)-MRI was acquired at the bedside from patients with ischemic and hemorrhagic stroke in the neurointensive care unit at a major academic medical center (n=128). An AI system was trained to quantify brain midline shift (MLS), a standard neuroradiological marker of brain injury from POC-MRI, using anatomical annotations from independent neuroradiologists. A cross-validation experiment showed that AI estimates of MLS from POC-MRI were associated with stroke severity and disability at subsequent discharge. AI estimates of MLS greater than 1.5 mm were positively predictive of poor discharge outcome in the full sample and in ischemic stroke.
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