Artificial intelligence algorithms are well suited to the fast decision making needed in the management of large vessel occlusive stroke. In a new study, a fully automated CT angiography algorithm identified large vessel occlusions with impressive sensitivity, but the work highlights the need for high reporting standards to maximize translatability.
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M.H.L. has received consultancy fees from GE Healthcare and Takeda Pharmaceuticals, and has received research support from GE Healthcare. He has also applied for patents for CT haemorrhage and head CT ischaemia detection technology, transformed domain machine learning, and electrical impedance spectroscopy detection of haemorrhage. T.M.L.-M. declares no competing interests.
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Leslie-Mazwi, T.M., Lev, M.H. Towards artificial intelligence for clinical stroke care. Nat Rev Neurol 16, 5–6 (2020). https://doi.org/10.1038/s41582-019-0287-9
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DOI: https://doi.org/10.1038/s41582-019-0287-9
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