Latest AI and machine learning research in arrhythmias for healthcare professionals.
The nonperfused volume (NPV) ratio is the key to the success of high intensity focused ultrasound (H...
The incidence of cardiovascular disease is increasing year by year and is showing a younger trend. A...
The application of artificial intelligence (AI) to the electrocardiogram (ECG), a ubiquitous and sta...
BACKGROUND: Heart rate-corrected QT interval (QTc) prolongation, whether secondary to drugs, genetic...
Electrocardiogram (ECG) signals play a vital role in diagnosing and monitoring patients suffering fr...
BACKGROUND: QTc interval monitoring, for the prevention of drug-induced arrhythmias is necessary, es...
BACKGROUND: An accurate assessment of permanent pacemaker implantation (PPI) risk following transcat...
The number of patients with cardiovascular diseases is rapidly increasing in the world. The workload...
Electrocardiogram (ECG) is the most effective instrument for making decisions about various forms of...
Atrial Fibrillation (AF) the most commonly occurring type of cardiac arrhythmia is one of the main c...
The aim of the study was to assess the clinical applicability of robot guided laser osteotomy for cl...
Background An artificial intelligence algorithm that detects age using the 12-lead ECG has been sugg...
Background Classical ST-T waveform changes on standard 12-lead ECG have limited sensitivity in detec...
Gamma oscillations are thought to play a key role in neuronal network function and neuronal communic...
BACKGROUND: ECG interpretation requires expertise and is mostly based on physician recognition of sp...
Nowadays, deep learning-based models have been widely developed for atrial fibrillation (AF) detecti...
Percutaneous thermal ablation is a validated treatment option for small hepatocellular carcinoma (HC...
BACKGROUND: Combined spinal-epidurals with low-dose intrathecal opioids and local anesthetics are co...
Application of artificial intelligence techniques in medicine has rapidly expanded in recent years. ...
Telemedicine and all types of monitoring systems have proven to be a useful and low-cost tool with a...
We present the results from a white-box machine learning approach to detect cardiac arrhythmias usin...