![Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study - The Lancet Digital Health Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study - The Lancet Digital Health](https://www.thelancet.com/cms/attachment/685d256a-f53f-4bb6-8f6e-cf51cf749aa8/gr1_lrg.jpg)
Point-of-care screening for heart failure with reduced ejection fraction using artificial intelligence during ECG-enabled stethoscope examination in London, UK: a prospective, observational, multicentre study - The Lancet Digital Health
![Frontiers | Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders Frontiers | Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders](https://www.frontiersin.org/files/MyHome%20Article%20Library/754909/754909_Thumb_400.jpg)
Frontiers | Electrocardiogram-Based Heart Age Estimation by a Deep Learning Model Provides More Information on the Incidence of Cardiovascular Disorders
![Frontiers | Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context Frontiers | Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context](https://www.frontiersin.org/files/Articles/867033/fphys-13-867033-HTML-r3/image_m/fphys-13-867033-g001.jpg)
Frontiers | Golden Standard or Obsolete Method? Review of ECG Applications in Clinical and Experimental Context
![Artificial intelligence-enhanced electrocardiography in cardiovascular disease management | Nature Reviews Cardiology Artificial intelligence-enhanced electrocardiography in cardiovascular disease management | Nature Reviews Cardiology](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41569-020-00503-2/MediaObjects/41569_2020_503_Fig1_HTML.png)
Artificial intelligence-enhanced electrocardiography in cardiovascular disease management | Nature Reviews Cardiology
![PDF) Original Article Improving ECG Competence in Medical Trainees in a UK District General Hospital PDF) Original Article Improving ECG Competence in Medical Trainees in a UK District General Hospital](https://i1.rgstatic.net/publication/264157564_Original_Article_Improving_ECG_Competence_in_Medical_Trainees_in_a_UK_District_General_Hospital/links/53cfe4500cf2fd75bc5a0455/largepreview.png)
PDF) Original Article Improving ECG Competence in Medical Trainees in a UK District General Hospital
![Frontiers | Comparing Non-invasive Inverse Electrocardiography With Invasive Endocardial and Epicardial Electroanatomical Mapping During Sinus Rhythm Frontiers | Comparing Non-invasive Inverse Electrocardiography With Invasive Endocardial and Epicardial Electroanatomical Mapping During Sinus Rhythm](https://www.frontiersin.org/files/Articles/730736/fphys-12-730736-HTML-r1/image_m/fphys-12-730736-g001.jpg)
Frontiers | Comparing Non-invasive Inverse Electrocardiography With Invasive Endocardial and Epicardial Electroanatomical Mapping During Sinus Rhythm
![New ECG Criteria for Acute Myocardial Infarction in Patients With Left Bundle Branch Block | Journal of the American Heart Association New ECG Criteria for Acute Myocardial Infarction in Patients With Left Bundle Branch Block | Journal of the American Heart Association](https://www.ahajournals.org/cms/asset/2fd0dde6-ed49-41a9-8043-1d97bab6f3d2/jaha.120.017119.fp.png)
New ECG Criteria for Acute Myocardial Infarction in Patients With Left Bundle Branch Block | Journal of the American Heart Association
![Going Deep With ECG and Aortic Stenosis: Touchdown or Incomplete Pass? | Journal of the American Heart Association Going Deep With ECG and Aortic Stenosis: Touchdown or Incomplete Pass? | Journal of the American Heart Association](https://www.ahajournals.org/cms/asset/ab5bd6f8-ddef-4f12-8b7d-a79bb5f8af29/jaha.120.016193.fp.png)
Going Deep With ECG and Aortic Stenosis: Touchdown or Incomplete Pass? | Journal of the American Heart Association
![A modified cardiac triage strategy reduces door to ECG time in patients with ST elevation myocardial infarction | Scientific Reports A modified cardiac triage strategy reduces door to ECG time in patients with ST elevation myocardial infarction | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-021-86013-8/MediaObjects/41598_2021_86013_Fig1_HTML.png)
A modified cardiac triage strategy reduces door to ECG time in patients with ST elevation myocardial infarction | Scientific Reports
![Computer-Interpreted Electrocardiograms: Benefits and Limitations | Journal of the American College of Cardiology Computer-Interpreted Electrocardiograms: Benefits and Limitations | Journal of the American College of Cardiology](https://www.jacc.org/cms/asset/228553b8-3a73-4e4a-a979-26489a008d00/fx1.jpg)
Computer-Interpreted Electrocardiograms: Benefits and Limitations | Journal of the American College of Cardiology
![Frontiers | Extended ECG Improves Classification of Paroxysmal and Persistent Atrial Fibrillation Based on P- and f-Waves Frontiers | Extended ECG Improves Classification of Paroxysmal and Persistent Atrial Fibrillation Based on P- and f-Waves](https://www.frontiersin.org/files/MyHome%20Article%20Library/779826/779826_Thumb_400.jpg)
Frontiers | Extended ECG Improves Classification of Paroxysmal and Persistent Atrial Fibrillation Based on P- and f-Waves
![An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction - The Lancet An artificial intelligence-enabled ECG algorithm for the identification of patients with atrial fibrillation during sinus rhythm: a retrospective analysis of outcome prediction - The Lancet](https://www.thelancet.com/cms/attachment/28858323-90b4-4c49-ab2e-243a99538b0d/gr2.gif)