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pro vyhledávání: '"Sugimori, Daisuke Oura"'
Publikováno v:
Diagnostics; Volume 13; Issue 13; Pages: 2138
Predicting outcomes after mechanical thrombectomy (MT) remains challenging for patients with acute ischemic stroke (AIS). This study aimed to explore the usefulness of machine learning (ML) methods using detailed apparent diffusion coefficient (ADC)