Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure: a clinical consensus statement from the ESC Working Group on e-Cardiology, the Heart Failure Association of the European Society of Cardiology, the Association of Cardiovascular Nursing & Allied Professions of the European Society of Cardiology, the ESC Digital Health Committee, the ESC Council of Cardio-Oncology, and the ESC Patient Forum

2024-8-30

Artificial intelligence–empowered treatment decision-making in patients with aortic stenosis via early detection of cardiac amyloidosis

2024-8-22

Deep-learning algorithm for predicting left ventricular systolic dysfunction in atrial fibrillation with rapid ventricular response

2024-8-19

Prediction of presence and severity of metabolic syndrome using regional body volumes measured by a multisensor white-light 3D scanner and validation using a mobile technology

2024-8-15

Evaluating the impacts of digital ECG denoising on the interpretive capabilities of healthcare professionals

2024-8-12

The use of imputation in clinical decision support systems: a cardiovascular risk management pilot vignette study among clinicians

2024-8-10

Clinical and genetic associations of asymmetric apical and septal left ventricular hypertrophy

2024-8-9

Predicting early-stage coronary artery disease using machine learning and routine clinical biomarkers improved by augmented virtual data

2024-8-9

Why Thorough Open Data Descriptions Matters More Than Ever in the Age of AI: Opportunities for Cardiovascular Research

2024-8-8

Long-term adherence to a wearable for continuous behavioral activity measuring in the SafeHeart Implantable Cardioverter Defibrillator population

2024-8-1

The power of data-driven ASSISTance in personalized testing for coronary artery disease

2024-7-30

Correction to: Initial experience, safety, and feasibility using remote access or onsite technical support for complex ablation procedures: results of the REMOTE study

2024-7-29

Meet Key Digital Health thought leaders: Jagmeet (Jag) Singh

2024-7-25

Design and Rationale of the Engage-HF Study: The Impact of a Gamified Engagement Toolkit on Participation and Engagement in a Heart Failure Registry

2024-7-15

Effect of Urban Environment on Cardiovascular Health: A Feasibility Pilot Study using Machine Learning to Predict Heart Rate Variability in Heart Failure Patients

2024-7-12

Machine learning-based prediction of 1-year all-cause mortality in patients undergoing CRT implantation: Validation of the SEMMELWEIS-CRT score in the European CRT Survey I dataset

2024-7-12

Latent profiles of global electrical heterogeneity: the Hispanic Community Health Study/Study of Latinos

2024-7-8

Artificial Intelligence-based ECG Analysis Improves Atrial Arrhythmia Detection from a smartwatch ECG

2024-7-6

Feasibility of anticoagulation on demand after percutaneous coronary intervention in high-bleeding risk patients with paroxysmal atrial fibrillation The INTERMITTENT Registry

2024-6-25

Explainable AI in Deep Learning-Based Detection of Aortic Elongation on Chest X-Ray Images

2024-6-25

Correction to: The association of electronic health literacy with behavioural and psychological coronary artery disease risk factors in patients after percutaneous coronary intervention: a 12-month follow-up study

2024-6-13

Implantable cardiac monitors: the digital future of risk prediction?

2024-6-11

Standardised assessment of evidence supporting the adoption of mobile health solutions: A Clinical Consensus Statement of the ESC Regulatory Affairs Committee

2024-6-4

Artificial intelligence and transcatheter aortic valve implantation-induced conduction disturbances—adding insight beyond the human ‘I’

2024-6-3

Streamlining Atrial Fibrillation Ablation Management Using a Digitization Solution

2024-5-23

Association between gait video information and general cardiovascular diseases: a prospective cross-sectional study

2024-5-20

Mixing properties of coronary infusion catheters assessed by in-vitro experiments and computational fluid dynamics

2024-5-16

Remote proctoring in complex percutaneous coronary intervention aided by mixed reality technology

2024-5-14

AI-Enhanced Electrocardiography Analysis as a Promising Tool for Predicting Obstructive Coronary Artery Disease in Patients with Stable Angina

2024-5-14

Prospects for AI-Enhanced ECG as a Unified Screening Tool for Cardiac and Non-Cardiac Conditions – An Explorative Study in Emergency Care

2024-5-12

Dynamic Risk Stratification of worsening heart failure using a Deep learning enabled Implanted Ambulatory Single lead ECG

2024-5-8

Simple Models Versus Deep Learning in Detecting Low Ejection Fraction From The Electrocardiogram

2024-4-25

Radical Health Festival Helsinki 2024 Preview: Navigating the Future of Healthcare

2024-4-23

Smartphone use and cerebro-cardio-vascular health: opportunity or public health threat?

2024-4-23

Unlocking the potential of artificial intelligence in electrocardiogram biometrics: age-related changes, anomaly detection, and data authenticity in mobile health platforms

2024-4-22

Machine learning in cardiac stress test interpretation: a systematic review

2024-4-17

Remote Rhythm Monitoring using a Photoplethysmography Smartphone Application after Cardioversion for Atrial Fibrillation

2024-4-15

Hypertrophic cardiomyopathy detection with artificial intelligence electrocardiography in international cohorts: an external validation study

2024-4-15

Digital recruitment and compliance to treatment recommendations in the Norwegian Atrial Fibrillation self-screening pilot study

2024-4-9

Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study

2024-4-8

Development and validation of risk prediction model for recurrent cardiovascular events among Chinese: the Personalized CARdiovascular DIsease risk Assessment for Chinese model

2024-4-8

An artificial-intelligence enabled Holter algorithm to identify patients with ventricular tachycardia by analyzing their ECG during sinus rhythm

2024-4-3

Correction to: What drives performance in machine learning models for predicting heart failure outcome?

2024-3-27

Machine Learning-based Analysis of Non-Invasive Measurements for Predicting Intracardiac Pressures

2024-3-13

The prognostic value of artificial intelligence to predict cardiac amyloidosis in patients with severe aortic stenosis undergoing transcatheter aortic valve replacement

2024-3-13

Photoplethysmography and intracardiac pressures: early insights from a pilot study

2024-3-7

Artificial Intelligence-assisted evaluation of cardiac function by oncology staff in chemotherapy patients

2024-2-27

Artificial intelligence-based classification of echocardiographic views

2024-2-26

Prediction of survival in out-of-hospital cardiac arrest: the updated Swedish cardiac arrest risk score (SCARS) model

2024-2-24

Predicting multifaceted risks using machine learning in Atrial Fibrillation: Insights from GLORIA-AF study

2024-2-20