输入关键词或点击标签，按论文、数据资源、竞赛截止日期、征稿与课程缩小范围。 标签：cardiology
EchoNet-Dynamic is a cardiac ultrasound video dataset with expert annotations for left ventricular function. It is used for echocardiography video understanding, ejection fraction estimation, cardiac segmentation, and clinical video AI research.
PTB-XL is a large public 12-lead electrocardiography dataset with diagnostic statements and waveform records. It is a standard benchmark for ECG classification, cardiac abnormality detection, clinical signal representation learning, and robust evaluation of biosignal models.
PhysioNet Challenge 2026 on detecting cognitive impairment from polysomnography and related clinical signals.
This Nature Portfolio / npj Cardiovascular Health collection is open for submissions until 2026-06-12. It calls for AI and machine learning work in cardiovascular care, including diagnostic evaluation, CVD risk prediction, cardiac imaging and ECG deep learning, EHR tooling, multi-omics, wearables, remote monitoring, deployment, transparency, ethics, and regulation.