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Deep Learning-Enhanced ECG Analysis for the Prediction of Occult Atrial Fibrillation: A Multi-Center Prospective Validation Study
Original Research | 2025 | Volume 1 | Issue 1 | Page 50-59 Dr. Sayama Prasad, Professor, Cardiology, GMC-Asam Dr. Arun Sharma, Professor, Cardiology, GMC-Jalgaow Abstract Background: Atrial Fibrillation (AFib) remains a leading cause of cryptogenic stroke due to its often paroxysmal and asymptomatic ("occult") nature. Traditional screening relies on symptomatic presentation or prolonged Holter monitoring, which often fails to capture intermittent episodes. This study evaluate
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