The invention relates to the technical field of intelligent medical assistance, in particular to a method, device and equipment for assisting
stroke assessment and a medium, and the method comprises the steps: receiving a brain image, clinical vital sign data, pre-hospital first-aid records and historical
health data; the method comprises the following steps of: extracting deep semantic features of a brain image by adopting a
convolutional neural network and a Swinin-Transform
hybrid encoder; a
gradient boosting tree feature
encoder is adopted to extract
nonlinear correlation features among the clinical vital sign data, the pre-hospital emergency records and the historical
health data; based on the deep semantic features and the
nonlinear correlation features, adopting residual connection and a multi-head attention mechanism to obtain complementary fusion features; determining the
stroke type based on the fusion features; and when
ischemic stroke is determined, the volume of a core
infarction region is measured and calculated, so that the assessment time of the emergency
stroke is shortened.