The present application relates to the technical field of medical
image processing, and discloses a method and
system for predicting vascular injury and assessing
internal hemorrhage risk, comprising: acquiring
original data, wherein the
original data includes
body surface marker coordinate data, physiological state and trauma-related information of a critically injured trauma victim; preprocessing the
body surface marker coordinate data in the
original data to obtain standardized coordinate data; inputting the standardized coordinate data into a pre-trained graph neural
network model for mapping
processing to obtain vascular marker three-dimensional coordinate prediction data; calculating the spatial distance between the injury path and the vascular marker according to the vascular marker three-dimensional coordinate prediction data and the trauma-related information to obtain a quantitative
evaluation result of vascular
injury risk; and combining the quantitative
evaluation result of vascular
injury risk with the physiological state information of the victim to complete comprehensive
quantitative assessment of the
internal hemorrhage risk of the victim to obtain a corresponding
risk level result.