AI and Cardiovascular Diseases: An Overview of Deep Neural Networks in Electrocardiogram Analysis

Résumé

This paper gives an overview of the advancements in Artificial intelligence (AI) for the prognosis and treatment of cardiovascular disease (CVDs). AI techniques, inclusive of machine learning algorithms, have proven promise in analyzing medical photos for computerized detection of cardiac abnormalities and risk stratification. Decision-guide systems driven by way of AI useful resources in optimizing remedy strategies via leveraging patient facts for personalized interventions. Integration of AI with wearable devices and faraway monitoring structures allows real-time facts collection, early detection of cardiac activities, and powerful remote care control. However, demanding situations associated with information privateness, set of rules bias, and regulatory frameworks need to be addressed. Collaborative efforts amongst clinicians, researchers, and policymakers are crucial for harnessing the whole capacity of AI in CVD care.