Transformer-based deep learning automates multi-view echocardiography screening for mitral regurgitation and assists in classifying central versus eccentric regurgitation characteristics.
Does a Transformer-based deep learning algorithm improve the detection and classification of mitral regurgitation in multi-view echocardiography?
A novel Transformer-based deep learning algorithm can automate the detection and classification of mitral regurgitation from multi-view echocardiography.
Absolute Event Rate: 0% vs 0%
The Transformer-based algorithm proposed in this study can automate and improve the efficiency of clinical workflows, screen multi-view for the presence of MR, and assist in classifying regurgitation characteristics.
Zhong et al. (Wed,) reported a other. Transformer-based deep learning automates multi-view echocardiography screening for mitral regurgitation and assists in classifying central versus eccentric regurgitation characteristics.