Latest AI and machine learning research in arrhythmias for healthcare professionals.
The increasing focus on improving care for high-cost patients has highlighted the potential of Hospi...
The safety and efficacy of irreversible electroporation (IRE) in tumor therapy has been validated ov...
This narrative review addresses the diagnostic complexities of vasospastic angina (VSA), also known ...
BACKGROUND: Accurate prediction of early recurrence (ER) is essential to improve the prognosis of pa...
BACKGROUND AND AIMS: Artificial intelligence (AI) algorithms in 12-lead electrocardiogram (ECG) prov...
Deep learning method can be used to automatically analyze electrocardiogram (ECG) data and rapidly i...
Cardiovascular diseases and psychological disorders represent two major threats to human physical an...
In recent years, cardiovascular disease has become a common disease. With the development of machine...
Cardiovascular diseases (CVDs) have surpassed cancer and become the major cause of death worldwide. ...
Atrial fibrillation (AF) is a heart condition widely recognized as a significant risk factor for str...
The adoption of deep learning in ECG diagnosis is often hindered by the scarcity of large, well-labe...
PURPOSE: Intra-operative factors are crucial to early recurrence of hepatocellular carcinoma (HCC) a...
INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe ...
In the intelligent harvesting of eggplant, the lack of in situ identification technology makes it ch...
OBJECTIVE: Evaluate popular explanation methods using heatmap visualizations to explain the predicti...
Recent endeavors have led to the exploration of Machine Learning (ML) to enhance the detection and a...
During long-term electrocardiogram (ECG) monitoring, various types of noise inevitably become mixed ...
BACKGROUND AND AIMS: Deep learning applied to electrocardiograms (ECG-AI) is an emerging approach fo...
BACKGROUND: The PRAISE (PRedicting with Artificial Intelligence riSk aftEr acute coronary syndrome) ...
Artificial intelligence (AI)-enabled interpretation of electrocardiogram (ECG) images (AI-ECGs) can ...
OBJECTIVE: Maximizing safe resection in neuro-oncology has become paramount to improving patient sur...