Search results
Author(s):
Laurent Fiorina
Added:
1 year ago
EHRA 24 - In this short interview, we are joined by Dr Laurent Fiorina (Cardiovascular Institute Paris-Sud (ICPS), FR) joins us to discuss the findings from a clinical investigation into diagnosing conduction tissue disease using an AI-enabled single-lead coronary ECG device.This observational, prospective clinical trial aims to investigate the performance of an artificial intelligence algorithm…
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Author(s):
Gaetano Antonio Lanza
Added:
6 months ago
ECG in Severe COVID-19 Infection
Author(s):
Kapil Rajendran
,
Baiju Rajan
,
Sivaprasad Kunjukrishnapilla
,
et al
Added:
1 year ago
Article
Author(s):
Emma Sandgren
Added:
8 months ago
EHRA 2025 - Outcomes from model screening for atrial fibrillation (AF) show the combination of a risk prediction model and long-term electrocardiogram (ECG) monitoring is superior to standard of care in detecting new cases of AF in a high-risk population aged 65 years or older. In the risk prediction model arm, the incidence of AF after six months was significantly higher than the incidence in…
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Bernard R Chaitman
Job title: Professor of Medicine and Director of Cardiovascular Research
Author
Jonathan Jiunn Liang Yap
Research Area(s) / Expertise:
Job title: Consultant Cardiologist
Author
Jacob S Koruth
Job title: Electrophysiologist
Author
Clinical Clues in Cardiovascular Disease
Video Series
Author(s):
Chao Jiang
,
Zhao Zixu
Added:
3 weeks ago
AHA Scientific Sessions 2025 – Dr Chao Jiang and Dr Zhao Zixu (Beijing Anzhen Hospital, CN) discuss the findings from the DARE-AF (NCT06433479) randomized clinical trial, investigating whether dapagliflozin reduces atrial fibrillation burden following catheter ablation in patients without diabetes or heart failure.This single-center, open-label trial enrolled 200 patients with persistent atrial…
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Author(s):
Demilade Adedinsewo
Added:
2 years ago
AHA 23 - We are joined by Dr Demilade Adedinsewo (Mayo Clinic, US) to discuss the findings from a study investigating the effectiveness of an artificial intelligence-enabled ECG (AI-ECG) for cardiomyopathy detection in an obstetric population.In the intervention arm, the digital stethoscope correctly identified 92% of those with ejection fraction <50% and 100% of those with ejection fraction …
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