Biomedical Engineering | Cardiology | Mobile Health Feasibility and validity of using deep learning to reconstruct 12-lead ECG from three‑lead signals. March 13, 2024
Cardiology Prediction of certainty in artificial intelligence-enabled electrocardiography. February 17, 2024
Cardiology Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases. February 1, 2024
Artificial Intelligence | Cardiology Validation of an automated artificial intelligence system for 12‑lead ECG interpretation. December 28, 2023
Cardiology | Machine Learning End-to-end risk prediction of atrial fibrillation from the 12-Lead ECG by deep neural networks. September 29, 2023
Cardiology Forecasting imminent atrial fibrillation in long-term electrocardiogram recordings. September 8, 2023
Cardiology Comparison of two artificial intelligence-augmented ECG approaches: Machine learning and deep learning. March 29, 2023
Cardiology | Machine Learning Machine learning models of 6-lead ECGs for the interpretation of left ventricular hypertrophy (LVH). January 15, 2023
Cardiology | Electrocardiology Kenichi Harumi Plenary Address at Annual Meeting of the International Society of Computers in Electrocardiology: “What Should ECG Deep Learning Focus on? The diagnosis of acute coronary occlusion!”. November 27, 2022
Artificial Intelligence | Cardiology A two-staged classifier to reduce false positives: On device detection of atrial fibrillation using phase-based distribution of poincaré plots and deep learning. November 17, 2022