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Advantage of grading classification using volumetric artificial intelligence for periventricular hyperintensity and deep subcortical white matter hyperintensity

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 and 109 allocated t...

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Principais autores: Masashi Kuwabara, Fusao Ikawa, Shinji Nakazawa, Saori Koshino, Daizo Ishii, Hiroshi Kondo, Takeshi Hara, Shingo Matsuda, Yuyo Maeda, Shiyuki Maeyama, Yoshinobu Seo, Jinichi Sasanuma, Kimito Kondo, Nobutaka Horie
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2025-11-01
Serier:Scientific Reports
Fag:
Periventricular hyperintensity
Deep and subcortical white matter hyperintensity
Artificial intelligence
Grading
Magnetic resonance imaging
Online adgang:https://doi.org/10.1038/s41598-025-23859-2
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