The IOP Medical Physics Group meeting examined the impact of advanced imaging techniques and computational modelling on ...

Based on the degree of aging of the ECG analyzed by AI, it is possible to predict the risk of atrial fibrillation.Professor Information Young and Yoo Hee-ta ...

When AliveCor launched in 2011, it had a simple mission: Empower people to take control of their heart health. It did that by ...

deep learning ? a subset of artificial intelligence (AI), has emerged as a powerful tool ... which boasts a 0.23 second rotation time for one-beat cardiac imaging ? and ECG-less Cardiac solution to ...

Marshall High School students participating in the certified EKG technician program are gaining hands-on experience as part ...

CNW/ - Education Canada Group (ECG) is proud to announce the appointment of Bill Ciprick as its Chief Executive Officer ...

"Your real learning starts now as you go into the real world. The tools have been given to you, but what you make in life is what you do after you graduate." On leadership"The day I am not able to fly ...

Researchers at Penn State are using machine learning and existing electrocardiogram (ECG) data to help doctors make more ...

In this study, we introduce a deep learning model designed to assist cardiologists in the early diagnosis of PAF during NSR by classifying ECGs into Healthy-NSR ECG and PAF-NSR ECG categories. We ...

Abstract: Presents corrections to the paper, (Corrections to “Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification”).