Recommended Reading on e-Cardiology

ESC Working Group on e-Cardiology

Date

Title

• Date: 01/12/2024
  Title: Artificial intelligence-enabled electrocardiogram for mortality and cardiovascular risk estimation: a model development and validation study
• Date: 01/12/2024
  Title: Cardiovascular care with digital twin technology in the era of generative artificial intelligence
• Date: 01/12/2024
  Title: Advanced ECG Heart Age: a prognostic, explainable machine learning approach applicable to sinus and non-sinus rhythms
• Date: 01/10/2024
  Title: Digital solutions to optimize guideline-directed medical therapy prescription rates in patients with heart failure
• Date: 01/10/2024
  Title: Artificial intelligence in cardiovascular medicine: clinical applications.
• Date: 01/10/2024
  Title: Artificial intelligence-based fully automated stress left ventricular ejection fraction as a prognostic marker in patients undergoing stress cardiovascular magnetic resonance
• Date: 01/06/2024
  Title: Validation of a machine learning algorithm to identify pulmonary vein isolation during ablation procedures for the treatment of atrial fibrillation: results of the PVISION study
• Date: 01/06/2024
  Title: Artificial intelligence–based assessment of built environment from Google Street View and coronary artery disease prevalence.
• Date: 01/06/2024
  Title: Evaluation of deep learning estimation of whole heart anatomy from automated cardiovascular magnetic resonance short- and long-axis analyses in UK biobank
• Date: 01/04/2024
  Title: Accuracy and comprehensibility of chat-based artificial intelligence for patient information on atrial fibrillation and cardiac implantable electronic devices.
• Date: 01/04/2024
  Title: Scoring systems developed by machine learning: intelligent but simple to use?
• Date: 01/04/2024
  Title: Key issues as Wearable Digital Health Technologies Enter Clinical Care
• Date: 01/02/2024
  Title: Electrocardiographic deep learning for predicting post-procedural mortality: a model development and validation study.
• Date: 01/02/2024
  Title: Artificial intelligence: revolutionizing cardiology with large language models.
• Date: 01/02/2024
  Title: Value creation through artificial intelligence and cardiovascular imaging: a scientific statement From the american heart association.
• Date: 01/12/2023
  Title: Deep learning in digital health with chatgpt: a study on efficient code generation
• Date: 01/12/2023
  Title: Identification of Brugada Syndrome Based on P-Wave Features: An Artificial Intelligence-Based Approach
• Date: 01/12/2023
  Title: Electrocardiographic temporo-spatial assessment of depolarization and repolarization changes after epicardial arrhythmogenic substrate ablation in Brugada syndrome
• Date: 01/10/2023
  Title: The digital journey: 25 years of digital development in electrophysiology from an Europace perspective.
• Date: 01/10/2023
  Title: Wearable technology and the cardiovascular system: the future of patient assessment.
• Date: 01/10/2023
  Title: Identification of supraventricular tachycardia mechanisms with surface electrocardiograms using a convolutional neural network.
• Date: 08/08/2023
  Title: Leveraging electronic health records to streamline the conduct of cardiovascular clinical trials
• Date: 08/08/2023
  Title: ChatGPT takes on the European Exam in Core Cardiology: an artificial intelligence success story?
• Date: 08/08/2023
  Title: Pragmatic screening for heart failure in the general population using an electrocardiogram-based neural network
• Date: 01/04/2023
  Title: An artificial intelligence–based model for prediction of atrial fibrillation from single-lead sinus rhythm electrocardiograms facilitating screening
• Date: 01/04/2023
  Title: Artificial intelligence enabled ECG screening for left ventricular systolic dysfunction: a systematic review
• Date: 01/04/2023
  Title: Alert-driven vs scheduled remote monitoring of implantable cardiac defibrillators: A cost-consequence analysis from the TRUST trial
• Date: 01/04/2023
  Title: AI-based fully automated left atrioventricular coupling index as a prognostic marker in patients undergoing stress CMR
• Date: 01/04/2023
  Title: Artificial intelligence to enhance clinical value across the spectrum of cardiovascular healthcare
• Date: 01/03/2023
  Title: Virtual healthcare solutions for cardiac rehabilitation: a literature review
• Date: 01/02/2023
  Title: Improved prediction of sudden cardiac death in patients with heart failure through digital processing of electrocardiography
• Date: 01/02/2023
  Title: Applications of artificial intelligence and machine learning in heart failure
• Date: 01/02/2023
  Title: Artificial intelligence in cardiac imaging: where we are and what we want
• Date: 01/04/2022
  Title: Cost-effectiveness of hybrid closed loop insulin pumps versus multiple daily injections plus intermittently scanned glucose monitoring in people with type 1 diabetes in the Netherlands
• Date: 01/04/2022
  Title: Recommendations for determining the validity of consumer wearables and smartphones for the estimation of energy expenditure: expert statement and checklist of the INTERLIVE Network
• Date: 01/04/2022
  Title: Clinical validation of an artificial intelligence assisted algorithm for automated quantification of left ventricular ejection fraction in real time by a novel handheld ultrasound device
• Date: 30/11/2021
  Title: Local and distributed machine learning for inter-hospital data utilization: an application for TAVI outcome prediction
• Date: 30/11/2021
  Title: Development of a machine learning model using electrocardiogram signals to improve acute pulmonary embolism screening
• Date: 01/11/2021
  Title: Mock circulatory loops used for testing cardiac assist devices: A review of computational and experimental models
• Date: 01/11/2021
  Title: Geospatial Correlation Analysis between Air Pollution Indicators and Estimated Speed of COVID-19 Diffusion in the Lombardy Region (Italy)
• Date: 01/11/2021
  Title: Noninvasive detection of spatiotemporal activation-repolarization interactions that prime idiopathic ventricular fibrillation
• Date: 01/09/2021
  Title: Impact of activity trackers on secondary prevention in patients with coronary artery disease: a systematic review and meta-analysis
• Date: 16/08/2021
  Title: Rapid exclusion of covid infection with the artificial intelligence electrocardiogram
• Date: 02/08/2021
  Title: Diagnosis and risk stratification in hypertrophic cardiomyopathy using machine learning wall thickness measurement: a comparison with human test-retest performance
• Date: 02/08/2021
  Title: The photoplethysmography dictionary: Practical guidance on signal interpretation and clinical scenarios from TeleCheck-AF
• Date: 02/08/2021
  Title: HRS White Paper on Clinical Utilization of Digital Health Technology
• Date: 01/06/2021
  Title: Synthetic data in machine learning for medicine and healthcare
• Date: 30/04/2021
  Title: Artificial Intelligence in Hypertension: Seeing Through a Glass Darkly
• Date: 30/04/2021
  Title: Remote monitoring of patients with heart failure during the first national lockdown for COVID-19 in France
• Date: 31/03/2021
  Title: Use and misuse of instant messaging in clinical data sharing: the EHRA-SMS Survey
• Date: 23/03/2021
  Title: Electromechanical substrate characterization in arrhythmogenic cardiomyopathy using imaging-based patient-specific computer simulations
• Date: 23/02/2021
  Title: Routine Echocardiography and Artificial Intelligence Solutions
• Date: 23/12/2020
  Title: The 'Digital Twin' to enable the vision of precision cardiology
• Date: 23/11/2020
  Title: Prediction of coronary artery calcium scoring from surface electrocardiogram in atherosclerotic cardiovascular disease: a pilot study
• Date: 01/11/2020
  Title: Evidence and Recommendations on the Use of Telemedicine for the Management of Arterial Hypertension: An International Expert Position Paper
• Date: 01/09/2020
  Title: Proposed Requirements for Cardiovascular Imaging-Related Machine Learning Evaluation (PRIME): A Checklist: Reviewed by the American College of Cardiology Healthcare Innovation Council
• Date: 01/09/2020
  Title: Atrial fibrillation classification using deep learning algorithm in Internet of Things-based smart healthcare system
• Date: 01/09/2020
  Title: Implementation of an on-demand app-based heart rate and rhythm monitoring infrastructure for the management of atrial fibrillation through teleconsultation: TeleCheck-AF
• Date: 01/08/2020
  Title: Digital technologies in the public-health response to COVID-19
• Date: 28/07/2020
  Title: Novel CineECG Derived From Standard 12-Lead ECG Enables Right Ventricle Outflow Tract Localization of Electrical Substrate in Patients With Brugada Syndrome
• Date: 01/06/2020
  Title: Privacy Gaps for Digital Cardiology Data: Big Problems with Big Data
• Date: 27/05/2020
  Title: Digital Smartphone Tracking for COVID-19 Public Health and Civil Liberties in Tension
• Date: 14/05/2020
  Title: Applying Telehealth Technologies and Strategies to Provide Acute Care Consultation and Treatment of Patients With Confirmed or Possible COVID-19
• Date: 24/04/2020
  Title: The Coronavirus Disease 2019 Crisis as Catalyst for Telemedicine for Chronic Neurological Disorders
• Date: 09/04/2020
  Title: Automatic diagnosis of the 12-lead ECG using a deep neural network
• Date: 02/04/2020
  Title: Covid-19 and Health Care’s Digital Revolution
• Date: 01/04/2020
  Title: Tele-Critical Care: An Update From the Society of Critical Care Medicine Tele-ICU Committee
• Date: 11/03/2020
  Title: Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics
• Date: 05/03/2020
  Title: Deep Learning for Cardiac Image Segmentation: A Review
• Date: 04/03/2020
  Title: The 'Digital Twin' to enable the vision of precision cardiology
• Date: 26/02/2020
  Title: Cardiac telerehabilitation as an alternative to centre-based cardiac rehabilitation
• Date: 20/01/2020
  Title: Can we ever trust Google with our health data?
• Date: 16/01/2020
  Title: Eleven tips for working with large datasets
• Date: 23/12/2019
  Title: Development, calibration, and validation of a novel human ventricular myocyte model in health, disease, and drug block
• Date: 14/11/2019
  Title: Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
• Date: 14/11/2019
  Title: A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography
• Date: 12/11/2019
  Title: Artificial Moral Agents: A Survey of the Current Status
• Date: 13/09/2019
  Title: Advances in technology for management of type 1 diabetes
• Date: 05/09/2019
  Title: Mobile Devices and Health
• Date: 28/08/2019
  Title: Assessment of Ultra-Short Heart Variability Indices Derived by Smartphone Accelerometers for Stress Detection
• Date: 01/08/2019
  Title: An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction
• Date: 17/07/2019
  Title: Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function
• Date: 29/04/2019
  Title: WHO Guideline: recommendations on digital interventions for health system strengthening
• Date: 01/03/2019
  Title: Mobile health and implantable cardiac devices: Patients' expectations
• Date: 13/02/2019
  Title: What do our patients expect of mobile health?
• Date: 29/01/2019
  Title: Wearable Devices for Cardiac Rhythm Diagnosis and Management
• Date: 07/01/2019
  Title: Artificial Intelligence for the Electrocardiogram
• Date: 22/12/2018
  Title: What is an appropriate level of evidence for a digital health intervention?
• Date: 20/11/2018
  Title: Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images
• Date: 25/10/2018
  Title: Computational models in cardiology
• Date: 25/08/2018
  Title: Efficacy of telemedical interventional management in patients with heart failure (TIM-HF2): a randomised, controlled, parallel-group, unmasked trial
• Date: 11/08/2018
  Title: The need for transparency of clinical evidence for medical devices in Europe
• Date: 12/06/2018
  Title: Artificial Intelligence in Cardiology
• Date: 15/03/2018
  Title: Implementing Machine Learning in Health Care — Addressing Ethical Challenges