Prediction of carotid artery plaque area based on parallel multi-gate attention capture model.

Cardiovascular disease (CVD) is a group of conditions involving the heart or blood vessels and is a leading cause of death and disability worldwide. Carotid artery plaque, as a key risk factor, is crucial for the early prevention and management of CVD. The purpose of this study is to combine clinical application and deep learning techniques to design a predictive model for the carotid artery plaque area.