Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity
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DOI: 10.1038/s41598-025-23859-2
Abstract: We developed and validated an artificial intelligence (AI) algorithm for the automated grading of periventricular hyperintensity (PVH) and deep subcortical white matter hyperintensity (DWMH) using magnetic resonance imaging. Overall, 246 patients were evaluated, with 137… read more here.
Keywords: classification; artificial intelligence; periventricular hyperintensity; accuracy ... See more keywords