Clinical Updates and Perspectives in Atrial Fibrillation
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Cardiology".
Deadline for manuscript submissions: 25 September 2026 | Viewed by 636
Special Issue Editors
2. Department of Cardiovascular Sciences, Clinical Science Wing, University of Leicester, Glenfield Hospital, Leicester LE3 9QP, UK
Interests: cardiac electrophysiology; atrial fibrillation; arrhythmia
2. Department of Cardiovascular Sciences, Clinical Science Wing, University of Leicester, Glenfield Hospital, Leicester LE3 9QP, UK
Interests: cardiac electrophysiology; cardiac care; atrial fibrillation
Special Issue Information
Dear Colleagues,
Atrial fibrillation remains the most common sustained cardiac arrhythmia and a leading cause of stroke, heart failure, hospitalisation, and healthcare burden worldwide. Despite major advances, significant gaps remain in early detection, risk stratification, and durable rhythm control. Current research highlights persistent challenges in translating mechanistic insights into personalised, effective, and scalable care.
This Special Issue aims to provide a focused update on contemporary advances and unresolved problems in atrial fibrillation. It will address epidemiology, mechanisms of atrial cardiomyopathy, risk prediction, and thromboprophylaxis, as well as evolving strategies in rhythm and rate control. Emphasis will be placed on modern diagnostic tools, continuous and remote monitoring, catheter ablation techniques, and emerging technologies, including digital health and artificial intelligence.
We invite high-quality original research and reviews that advance understanding and improve clinical practice in atrial fibrillation. By bringing together multidisciplinary perspectives, this Special Issue seeks to stimulate collaboration, guide future research priorities, and support evidence-based, patient-centred management of atrial fibrillation.
Dr. Riyaz Somani
Dr. Ibrahim Antoun
Guest Editors
Manuscript Submission Information
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Keywords
- atrial fibrillation
- catheter ablation
- risk prediction
- stroke prevention
- digital health and artificial intelligence
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