Echocardiogram Video

Echocardiogram video analysis is a rapidly evolving field focused on improving the accuracy and efficiency of heart disease diagnosis using deep learning. Current research emphasizes developing robust models, including diffusion models and vision transformers, for tasks such as ejection fraction estimation, left ventricle segmentation, and anomaly detection, often incorporating self-supervised and semi-supervised learning techniques to address data scarcity. These advancements promise to enhance diagnostic capabilities, reduce inter-observer variability, and enable more efficient and personalized cardiac care through improved image analysis and the creation of digital twins for in-silico clinical trials.