Atrial fibrillation (AF), a frequently encountered cardiac arrhythmia, presents notable diagnostic challenges to healthcare practitioners. Despite substantial advancements in cardiac care and technology, the early detection of AF continues to be an elusive task with important consequences. As I discussed in my last post, advances in artificial intelligence (AI) may be creating new avenues to assist … Continue reading The Frontier of Atrial Fibrillation Detection
Tag: Machine Learning
Atrial Fibrillation Screening: Can AI break the barrier?
Researchers at the Mayo Clinic published a study in 2019, showing that a convolutional neural network (CNN) enabled artificial intelligence (AI) algorithm could accurately predict the presence of paroxysmal atrial fibrillation (AF) from an electrocardiogram (ECG) taken in sinus rhythm (SR). The study was groundbreaking in the sense that even expertly trained electrophysiologists are not … Continue reading Atrial Fibrillation Screening: Can AI break the barrier?
What is Machine Learning?
Machine Learning: Machine learning is a subset of artificial intelligence (AI) that focuses on how computers learn from (usually) large amounts of data. There is spectrum of machine learning that spans from relatively simple algorithms (linear regression) to complex (generative adversarial networks). At the heart of almost all machine learning processes are statistical algorithms – … Continue reading What is Machine Learning?
