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2. Predicting atrial fibrillation risk following embolic stroke of unknown source using cardiac magnetic resonance imaging

3. Spatial relationship between left peri-atrial fat with underlying arrhythmogenic substrate in patients with atrial fibrillation - innocent bystander or culprit?

4. Optimising electrical performance of leadless cardiac resynchronisation therapy and leadless LV septal pacing

5. Clinical Turing tests with user certainty analysis to create and validate synthetic electrocardiogram images for artificial intelligence-enhanced algorithm development

13. Feasibility of artificial intelligence-enhanced electrocardiogram (AI-ECG) analysis in the current clinical environment: An online survey

15. Atrial fibrillation and in-hospital mortality in Covid-19 patients

18. Quantification of atrial cardiomyopathy disease severity by electroanatomic voltage mapping and cardiac magnetic resonance imaging

24. OpenEP-Py and OpenEP-GUI: An interactive platform for the visualisation and analysis of clinical and simulated cardiac electrophysiology data

27. The Inspection Paradox: An Important Consideration in the Evaluation of Rotor Lifetimes in Cardiac Fibrillation

35. Fake news and the Dutch YouTube political debate space

36. Creation and application of virtual patient cohorts of heart models

38. P920Understanding arrhythmia mechanisms in patients with atrial septal defects

39. P532Endocardial pacing is less arrhythmogenic than conventional epicardial pacing when pacing in proximity to scar in patients with ischemic heart failure

41. Creation and application of virtual patient cohorts of heart models

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