Latest AI and machine learning research in myocardial infarction for healthcare professionals.
In response to increasing data privacy regulations, this work examines the use of federated learning...
Wearable Internet of Things (IoT) devices are gaining ground for continuous physiological data acqui...
BACKGROUND: Early detection of left and right ventricular systolic dysfunction (LVSD and RVSD respec...
Left ventricular (LV) global longitudinal strain (LVGLS) is versatile; however, it is difficult to o...
BACKGROUND: Acute kidney injury (AKI) and contrast-induced nephropathy (CIN) are common complication...
The classification of ECG signals is a critical process because it guides the diagnosis of the prope...
BACKGROUND: Recently developed artificial intelligence-based coronary angiography (AI-QCA, fully aut...
Cancer remains an increasing global health issue and is projected to cause 50% of all global deaths ...
Coronary artery disease (CAD) is an irreversible and fatal disease. It necessitates timely and preci...
This study aims to use machine learning model to predict laboratory aspirin resistance (AR) in Chine...
Awareness and early identification of hypertension is crucial in reducing the burden of cardiovascul...
Arterial hypertension is a major risk factor for cardiovascular diseases. While cardiac ultrasound i...
BACKGROUND AND OBJECTIVE: Sudden cardiac death (SCD) is a critical health issue characterized by the...
BACKGROUND: Hyperkalemia, characterized by elevated serum potassium levels, heightens the risk of su...
Feature attribution methods can visually highlight specific input regions containing influential asp...
Arrhythmia is the main cause of sudden cardiac death, and ECG signal analysis is a common method for...
BACKGROUND: Reduced left ventricular ejection fraction (LVEF) initiates heart failure, and promptly ...
Access to large amounts of data is essential for successful machine learning research. However, ther...
Cardiovascular disease (CVD) continues to be a major global health concern, underscoring the need fo...
We develop a machine learning (ML) model using electrocardiography (ECG) to predict myocardial blood...
Cardiac Amyloidosis (CA) occurs when misfolded proteins accumulate in the heart muscle, leading to r...