Arrhythmias

Clinical applicability of artificial intelligence electrocardiogram interpretation in Brugada syndrome: a diagnostic accuracy meta-analysis.

INTRODUCTION: Artificial intelligence electrocardiogram (AI-ECG) interpretation has emerged as a promising approach to identify Brugada syndrome (BrS). This review sought to investigate diagnostic viability and clinical applicability of AI-ECG interpretation models for detecting BrS. METHODS: A systematic search (PubMed, Scopus, and ScienceDirect) was conducted in November 2025. STATA/BE (v17.0) w...

AI-ICE Guided Pulsed Field Ablation of Atrial Fibrillation with Variable Loop Circular Catheter.

BACKGROUND: Intracardiac echocardiography (ICE) facilitates left atrial (LA) reconstruction during atrial fibrillation (AF) ablation. The artificial intelligence-based CARTOSOUND FAM (AIFAM) module enables automated three-dimensional LA reconstruction without the need for a dedicated pre-ablation mapping catheter. While this workflow has been described previously in radiofrequency ablation, its ap...

Leveraging ECG foundation models in critical care for sinus rhythm and atrial fibrillation classification.

BACKGROUND: Recent advances in deep learning have led to the development of ECG foundation models (ECG-FMs) trained with self-supervised learning, whi...

Physicians' perspectives on artificial intelligence in electrocardiography in clinical practice: a qualitative study.

BACKGROUND: Artificial intelligence-enhanced electrocardiography (AI-ECG) may support ECG interpretation, prioritization, and workflow efficiency. ECG...

Patients' Perspectives on Applications of AI and Personalized Medicine in Life-Threatening Heart Disease: European Cross-Sectional Patient Questionnaire Study.

BACKGROUND: The growing integration of personalized risk prediction (PRP) and AI substantially reshapes diagnostic and therapeutic decision-making in ...

Machine Learning Models for Predicting Permanent Pacemaker Implantation After Transcatheter Aortic Valve Replacement: A Scoping Review.

Permanent pacemaker (PPM) implantation has been reported in up to 26% of patients undergoing transcatheter aortic valve replacement (TAVR). Machine le...

A Deformable Lead-Attention Fusion Network for Multi-Label ECG Classification Integrating Clinical Metadata.

Cardiovascular diseases remain a major global health burden, making accurate elec-trocardiogram (ECG) analysis essential for timely diagnosis. While d...

Survival Prediction for Clear Cell Renal Cell Carcinoma Based on Deep Multimodal Synergistic Survival Network.

OBJECTIVE: To propose a deep multimodal synergistic survival analysis framework (Deep Multimodal Synergistic Survival Network, DMSSN) to achieve accur...

Artificial Intelligence-Derived Myocardial Fibrosis on Cardiac Magnetic Resonance for Prognosis in Cardiomyopathy: A Systematic Review of a Sparse Evidence Base.

BACKGROUND: Myocardial fibrosis on cardiovascular magnetic resonance (CMR), assessed by late gadolinium enhancement (LGE) and parametric mapping, is a...

ECG-ARD: Autoregressive ECG Denoising With Dual-Domain Fusion and a Vector-Quantized Bottleneck.

Electrocardiogram (ECG) recordings are frequently corrupted by nonstationary artifacts such as baseline wander, muscle activity, and electrode motion,...

Deep Learning-Based Automated Segmentation of the Suprascapular Nerve and Adjacent Structures in Dynamic Supraclavicular Ultrasound.

OBJECTIVE: The suprascapular nerve (SSN) provides major motor and sensory innervation to the shoulder. Its accurate identification on ultrasound is ch...

Does preceding crash information improve classification of injury involvement in subsequent expressway crashes? The role of spatiotemporal linkage.

OBJECTIVES: To determine whether preceding-crash characteristics add information for classifying injury involvement in a later expressway crash after ...

Validation of an Artificial Intelligence-Derived ECG Algorithm for Detecting Cardiac Amyloidosis in Patients With Heart Failure With Preserved Ejection Fraction: Clinical Application and Prognostic Implications.

BACKGROUND: Cardiac transthyretin amyloidosis (ATTR-CA) is frequently underdiagnosed and commonly presents as heart failure with preserved ejection fr...

Prediction of Atrial Fibrillation Occurrence With Handheld Mobile Electrocardiogram: Deep Learning Model Development Using Real-World Data.

BACKGROUND: Atrial fibrillation (AF) is a common arrhythmia associated with an increased risk of stroke and heart failure. To improve prevention, rece...

Characterization of AF Recurrence and Substrate Health by Electrographic Flow (EGF) Consistency in EGF Mapping.

BACKGROUND: Electrographic flow (EGF) mapping is an FDA 510(k)-cleared method for visualizing atrial activation wavefronts in atrial fibrillation (AF)...

Artificial intelligence and the phantom pneumothorax: Clinical reasoning still matters.

Artificial intelligence (AI) has become increasingly integrated into chest radiograph interpretation, demonstrating excellent diagnostic performance f...

Evaluation of HRV-PRV agreement with autoencoder-based signal quality assessment in resting and dynamic conditions.

Objective.Pulse-to-pulse intervals obtained from continuous non-invasive blood pressure (CNBP) signals can be used to derive pulse rate variability (P...

Artificial Intelligence Analysis of Standard 12-Lead Electrocardiograms for Screening of Symptomatic Diabetic Peripheral Neuropathy.

AIM: To investigate whether artificial intelligence (AI) models trained on standard 12-lead electrocardiograms (ECG) can identify symptom-defined diab...

Automatic MRI-Based segmentation of ablation zones in spine and liver: A comparative study of network performance and influencing factors.

PURPOSE: Ablation therapies are a treatment option for cancer patients, particularly for conditions such as spinal metastases and liver tumors. Precis...

Percutaneous thermal ablation for renal cell carcinoma: a comprehensive review of current evidence and future directions.

Thermal ablation (TA), including microwave ablation, radiofrequency ablation, and cryoablation, is increasingly used as a surgical alternative for T1a...