The Use of Artificial Intelligence to Treat Cardiac Disease-The Use of Artificial Intelligence to Treat Cardiac Disease

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Video Summary

The session "AI and EP from Hype to Real World Practice" at the Great Wall International Cardiology Conference addressed the integration of artificial intelligence (AI) in electrophysiology (EP) and cardiology. Dr. Rong Bai and Dr. Singh co-chaired the session, emphasizing the need to translate experimental AI potentials into real-world medical practices to improve clinical outcomes.<br /><br />Dr. Sun Zuo from Beijing Anzhen Hospital detailed AI's applications in atrial fibrillation (AF) screening and management. His research involved using smartwatches and single-lead ECG monitors for accurate AF detection and management, achieving high accuracy and advancing AF burden estimation.<br /><br />Dr. Nasir Maroosh discussed the transformative potential of AI in cardiology, emphasizing integration with wearable devices to predict cardiac events. He highlighted ongoing trials involving advanced AI models and noted that the changing landscape might redefine the roles of medical professionals.<br /><br />Dr. Sanjeev Narayan shared insights from an American Heart Association scientific statement, focusing on challenges and best practices in applying AI in cardiology. He highlighted the importance of multidisciplinary approaches, thorough data curation, and transparency in AI algorithms to ensure effective implementation.<br /><br />Dr. Srijoy Mahapatra touched on AI's utility in ECG modeling and digital health, distinguishing AI models' capabilities beyond traditional tasks, potentially elevating clinical judgments and procedural decision-making.<br /><br />The session, while reflecting on AI's substantial potential, also acknowledged obstacles in data transparency, ethical considerations, and the need for cooperation among healthcare professionals for successful integration. The discussion concluded with the recognition that AI could significantly reshape healthcare delivery and redefine medical practice roles.

Keywords

AI

electrophysiology

cardiology

atrial fibrillation

wearable devices

ECG modeling

clinical outcomes

data transparency

healthcare integration

ethical considerations