Artificial intelligence-enhanced electrocardiogram (AI-ECG) models have shown outstanding performance in diagnostic and prognostic tasks, yet their black-box nature hampers clinical adoption. Meanwhile, a growing demand for explainable AI in medicine underscores the need for…
Continue Reading
What You Should Know:
– The U.S. Food and Drug Administration (FDA) has recently issued several key clearances, marking significant advancements across diagnostics, surgery, and remote patient monitoring.
– These FDA clearances reflect a deepening integration…
Continue Reading
Current AI approaches for cardiac diagnosis require condition-specific supervised learning with extensive labeled datasets, leading to fundamental scalability barriers. We developed an ECG-CLIP model, applying contrastive multimodal learning to enable zero-shot cardiac diagnosis from…
Continue Reading
Tricuspid regurgitation (TR) remains underdiagnosed due to the lack of effective screening tools. We developed a self-distilled and pre-trained transformer model for detecting TR (SPEED-TR) from electrocardiography. The model was trained using 466,149 electrocardiogram-echocardiogram…
Continue Reading
Cardiovascular diseases remain the leading cause of death in developed countries. This study introduces deep learning ensembles for arrhythmia detection and atrial fibrillation (AF) recurrence prediction from electrocardiogram scans, supported by explainable artificial intelligence…
Continue Reading
PreOpNet is a novel deep-learning algorithm using 12-lead digital electrocardiogram (ECG) for preoperative risk assessment of all-cause death and major adverse cardiac events (MACE) within 30 days. Its performance in European high-risk patients undergoing…
Continue Reading
What You Should Know:
– AccurKardia, a diagnostics technology innovator, has initiated a multicenter clinical pilot for its AK+ Guard technology.
– The AI-powered device, which has been designated as an FDA Breakthrough Device, can detect…
Continue Reading
Dr Arunashis Sau, academic clinical lecturer at Imperial College London’s National Heart and Lung Institute, and cardiology registrar at Imperial College Healthcare NHS Trust (Credit: Imperial College Healthcare NHS Trust)
Researchers have developed an…
Continue Reading
Heart rate (HR) estimation is crucial for early cardiovascular diagnosis, continuous monitoring, and various health applications. While electrocardiography (ECG) remains the gold standard, its discomfort and impracticality for continuous use have spurred the development…
Continue Reading
Image Credit: Philips Cardiac Workstation
What You Should Know:
– Philips announced the launch of the Philips ECG AI Marketplace, a new platform that provides cardiac care teams with a central location to access multiple vendor…
Continue Reading
