Jin et al. develop a deep learning-based model for diagnosing arrhythmias based on a large-scale ECG dataset. The model demonstrates cardiologist-level accuracy and can potentially improve the efficiency and accuracy of ECG detection in remote and underdeveloped areas, offering a promising prospect for telemedicine.
- Yanrui Jin
- Zhiyuan Li
- Chengliang Liu
