Latest AI and machine learning research in arrhythmias for healthcare professionals.
INTRODUCTION: Focal therapy (FT) has emerged as an intermediate therapeutic strategy between active ...
Photodynamic therapy (PDT) is an emerging approach for tumor treatment, valued for its noninvasive a...
Large Language Models (LLMs) hold significant promise for electrocardiogram (ECG) analysis, yet chal...
BACKGROUND: Early structural heart disease (SHD) detection is crucial for improving prognostic outco...
The prognosis of patients with MI has improved significantly with the recognition that early reperfu...
AIMS: The prone electrocardiogram (ECG) presents challenges in detecting anterior ST-segment elevate...
BACKGROUND: Existing models that use clinical history and cardiac imaging data remain inadequate for...
BACKGROUND: Diagnosis of prostate cancer in the PSA gray zone (4-10Â ng/mL) and PI-RADS 3 cases remai...
BACKGROUND: Binary classification of sex fails to capture the sex-related continuum of atrial fibril...
INTRODUCTION: Transthoracic echocardiography (TTE) is the current standard for detecting tricuspid r...
AIMS: Existing ST-segment elevation myocardial infarction (STEMI) alert pathways that rely on tradit...
UNLABELLED: Large language models (LLMs) are increasingly used in healthcare; however, their reliabi...
AIMS: Artificial intelligence models can estimate a person's age from ECG. The gap between the predi...
BACKGROUND: The identification of anomalies in physiological time-series data, specifically ECG and ...
Sleep stage flagging is critical for diagnosing conditions like insomnia, sleep apnea, and narcoleps...
AIM: We aim to identify risk factors for antibiotic-induced eosinophilia in hospitalized patients re...
BACKGROUND: The TAILORED-AF randomized trial demonstrated that artificial intelligence-guided ablati...
BACKGROUND: Microwave ablation (MWA) is a minimally invasive treatment for liver tumors, yet accurat...
OBJECTIVE: Develop a deep learning model for automatic hepatocellular carcinoma (HCC) detection in T...
AIMS: To develop and evaluate a deep learning model for immediate and accurate diagnosis of acute he...
BACKGROUND: Artificial intelligence applied to electrocardiograms (ECG-AI) offers a scalable approac...