Research on prognostic risk assessment model for acute ischemic stroke based on imaging and multidimensional data.

ABSTRACT: Accurately assessing the prognostic outcomes of patients with acute ischemic stroke and adjusting treatment plans in a timely manner for those with poor prognosis is crucial for intervening in modifiable risk factors. However, there is still controversy regarding the correlation between imaging-based predictions of complications in acute ischemic stroke. To address this, we developed a cross-modal attention module for integrating multidimensional data, including clinical information, imaging features, treatment plans, prognosis, and complications, to achieve complementary advantages. The fused features preserve magnetic resonance imaging (MRI) characteristics while supplementing clinical relevant information, providing a more comprehensive and informative basis for clinical diagnosis and t

SUBMITTER: Liang J 

PROVIDER: S-EPMC10773779 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature