HuBERT-ECG as a self-supervised foundation model for broad and scalable cardiac applications
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A foundation model called HuBERT-ECG is being explored for cardiac applications. It is described as self-supervised, suggesting it can learn from data without external guidance. The model's potential uses may include the early diagnosis of certain cardiac conditions, such as acute aortic dissection.