Latest AI and machine learning research in arrhythmias for healthcare professionals.
The electrocardiogram (ECG) is a valuable and non-invasive tool for detecting and preventing arrhyth...
BACKGROUND: Pulmonary hypertension (PH) carries a significant mortality risk, highlighting the need ...
BACKGROUND: Cardiac resynchronization therapy (CRT) can improve clinical outcomes in patients with d...
BACKGROUND AND OBJECTIVE: This systematic review evaluates the current state of Machine Learning (ML...
BACKGROUND AND OBJECTIVES: Although artificial-intelligence-enhanced electrocardiograms (AI-ECGs) of...
Atrial electrical remodeling spans molecular, electrical, and structural alterations that shorten re...
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...
OBJECTIVES: Chemotherapy-induced cardiotoxicity is still a major clinical problem, usually appearing...
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...
Unintended block of cardiac ion channels, particularly hERG (KV11.1), remains a key concern in drug ...
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...