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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Автори:	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
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Nature Portfolio 2025-11-01
Серія:	Scientific Reports
Предмети:	Periventricular hyperintensity Deep and subcortical white matter hyperintensity Artificial intelligence Grading Magnetic resonance imaging
Онлайн доступ:	https://doi.org/10.1038/s41598-025-23859-2
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