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Last Posted: Dec 21, 2020

• Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study.
  Zhu Hongling et al. The Lancet. Digital health 2020 Jul 2(7) e348-e357
• Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial.
  Hill Nathan R et al. Contemporary clinical trials 2020 Oct 106191
• Toward Early Severity Assessment of Obstructive Lung Disease Using Multi-Modal Wearable Sensor Data Fusion During Walking.
  Rahman Md Juber et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 2020 Jul 20205935-5938
• Real-Time Cuffless Continuous Blood Pressure Estimation Using Deep Learning Model.
  Li Yung-Hui et al. Sensors (Basel, Switzerland) 2020 Sep 20(19)
• Enhancing rare variant interpretation in inherited arrhythmias through quantitative analysis of consortium disease cohorts and population controls.
  Walsh Roddy et al. Genetics in medicine : official journal of the American College of Medical Genetics 2020 Sep
• Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram.
  Al-Zaiti Salah et al. Nature communications 2020 Aug 11(1) 3966
• Yield and clinical significance of genetic screening in elite and amateur athletes.
  Limongelli Giuseppe et al. European journal of preventive cardiology 2020 Jul 2047487320934265
• Artificial Neural Network for Atrial Fibrillation Identification in Portable Devices.
  Marinucci Daniele et al. Sensors (Basel, Switzerland) 2020 Jun 20(12)
• Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks.
  Zeng Wei et al. Artificial intelligence in medicine 2020 Jun 106101848
• Artificial Intelligence-Enabled ECG: a Modern Lens on an Old Technology.
  Kashou Anthony H et al. Current cardiology reports 2020 Jun 22(8) 57
• Automated detection of cardiovascular disease by electrocardiogram signal analysis: a deep learning system.
  Zhang Xin et al. Cardiovascular diagnosis and therapy 2020 Apr 10(2) 227-235
• A Machine Learning Approach to Management of Heart Failure Populations.
  Jing Linyuan et al. JACC. Heart failure 2020 Apr
• Detection of Atrial Fibrillation from Single Lead ECG Signal Using Multirate Cosine Filter Bank and Deep Neural Network.
  Ghosh S K et al. Journal of medical systems 2020 May 44(6) 114
• Early detection of ST-segment elevated myocardial infarction by artificial intelligence with 12-lead electrocardiogram.
  Zhao Yifan et al. International journal of cardiology 2020 May
• Automatic diagnosis of the 12-lead ECG using a deep neural network.
  Ribeiro Antônio H et al. Nature communications 2020 Apr 11(1) 1760