Latest AI and machine learning research in environmental health for healthcare professionals.
The significance and novelty of the present work are the preparation of the non-lead ceramic by the ...
AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target ei...
OBJECTIVES: the health status of people living near industrial plants is often exposed to several en...
Anthracosis is a type of mild pneumoconiosis secondary to harmless carbon dust deposits. Although an...
BACKGROUND: Although idiopathic Parkinson's disease (IPD) is increasing with the aging population, t...
Automatic arrhythmia detection is very important for cardiovascular health. It is generally performe...
Automated Electrocardiogram (ECG) classification using deep neural networks requires large datasets ...
Atrial Fibrillation (AF) is a kind of arrhythmia, which is a major morbidity factor, and AF can lead...
This study aimed to develop a 5G + "mixed computing" + deep learning-based next-generation intellige...
The diagnosis of hypertrophic cardiomyopathy (HCM) is of great significance for the early risk class...
Urbanization and an increase in precipitation intensities due to climate change, in addition to limi...
Digital technologies have emerged in various dimensions of human life, ranging from education to pro...
Artificial intelligence (AI) in health care is the future that is already here. Despite its potentia...
Artificial intelligence has seen an incredibly fast development in recent years. Many novel technolo...
Air pollution is a well-known contributor to asthma. Air toxics are hazardous air pollutants that ca...
Photoplethysmography (PPG) is an important signal which contains much physiological information like...
Low-cost wearables with capability to record electrocardiograms (ECG) are becoming increasingly avai...
IMPORTANCE: Millions of clinicians rely daily on automated preliminary electrocardiogram (ECG) inter...
The real-time monitoring of reductions of economic activity by containment measures and its effect o...
PURPOSE: Fundus images are typically used as the sole training input for automated diabetic retinopa...
CyanoPATH is a database that curates and analyzes the common genomic functional repertoire for cyano...