Smart T-shirt could reveal heart conditions in danger of being missed

A smart T-shirt with the power of AI could in the future detect heart conditions as people go about their daily lives, thanks ...

Physical function is a crucial predictor of survival after heart failure, mortality risk model indicates

Monitoring and treating heart failure (HF) is a challenging condition at any age. Several models, such as Atrial fibrillation, Hemoglobin, Elderly, Abnormal renal parameters, Diabetes mellitus (AHEAD) ...
IEEE

Hybrid CNN-BiLSTM with Attention Mechanism for Automated Diagnosis of Cardiovascular Disorders Using ECG Images

Abstract: Cardiovascular diseases (CVDs) continue to pose a major global health challenge, playing a significant role in premature mortality. An electrocardiogram (ECG) stands out as one of the most ...
IEEE

Efficient Myocardial Infarction Detection Using Hybrid CNN-BiLSTM with Depthwise Separable Convolution on ECG Signals

Abstract: Myocardial infarction is a cardiovascular disease caused by blocked blood vessels that restrict blood flow to the heart, potentially leading to cardiac death. Early detection and accurate ...
News-Medical.Net

AI analyzes ECG to predict ventricular remodeling in patients with repaired tetralogy of Fallot

Researchers at the Mount Sinai Kravis Children's Heart Center led a multicenter effort to develop and validate an artificial intelligence (AI) tool that can analyze a standard electrocardiogram (ECG) ...