Latest AI and machine learning research in arrhythmias for healthcare professionals.
Pulmonary hypertension (PH) is frequently underdiagnosed in low- and middle-income countries (LMIC...
Cardiovascular diseases (CVDs) are disorders impacting the heart and circulatory system. These dis...
Driver emotion recognition plays a crucial role in driver monitoring systems, enhancing human-auto...
BACKGROUND AND AIMS: Artificial intelligence (AI) algorithms in 12-lead electrocardiogram (ECG) prov...
Hypertension is a leading cause of morbidity and mortality worldwide. The ability to diagnose and ...
This study introduces OpenECG, a large-scale benchmark of 1.2 million 12-lead ECG recordings from ...
Wearable sensing devices, such as Holter monitors, will play a crucial role in the future of digit...
Cardiovascular diseases are a leading cause of death and disability worldwide. Electrocardiogram (...
Recent advances in multimodal ECG representation learning center on aligning ECG signals with pair...
In Romania, cardiovascular problems are the leading cause of death, accounting for nearly one-thir...
Cardiovascular diseases and psychological disorders represent two major threats to human physical an...
Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly i...
This study addresses the challenge of reconstructing unseen ECG signals from PPG signals, a critic...
The variability in ECG readings influenced by individual patient characteristics has posed a consi...
Home-based single-lead AI-ECG devices have enabled continuous, real-world cardiac monitoring. Howe...
Eating monitoring has remained an open challenge in medical research for years due to the lack of ...
Automated ECG diagnosis has seen significant advancements with deep learning techniques, but real-...
Large language models (LLMs) are revolutionizing healthcare by improving diagnosis, patient care, ...
Acute Coronary Syndrome (ACS) is a life-threatening cardiovascular condition where early and accur...
We present ECG-Expert-QA, a comprehensive multimodal dataset for evaluating diagnostic capabilitie...
In this paper, we present a novel Left-Prompt-Guided (LPG) paradigm to address a diverse range of ...