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Doctor Mashroor Khan

Karolinska University Hospital, Stockholm (Sweden)
Membership: ESC Professional Member
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Biography
PhD student in cardiology, with a keen interest in integrating artificial intelligence into healthcare to improve clinical outcomes for patients with atrial fibrillation. Main research focuses on leveraging AI to enhance early detection and improve management strategies for patients with atrial fibrillation. Dedicated to bridging the gap between cutting-edge technology and clinical practice, striving to drive innovation in cardiovascular care.
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Contributor content

Supraventricular prematurity and prevalence as a marker of atrial fibrillation
Presentation
Supraventricular prematurity and prevalence as a marker of atrial fibrillation
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Prediction of early atrial fibrillation using artificial intelligence from a single-lead ECG in screening
Presentation
Prediction of early atrial fibrillation using artificial intelligence from a single-lead ECG in screening
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Prediction of atrial fibrillation over time using artificial intelligence based on ECG features and clinical risk factors
Presentation
Prediction of atrial fibrillation over time using artificial intelligence based on ECG features and clinical risk factors
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