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AI Predicts Atrial Fibrillation in ATTR-CM by Dale Srinivas is a document available to read on EtoBox.
What is AI Predicts Atrial Fibrillation in ATTR-CM about?
The document presents an AI framework designed to predict atrial fibrillation (AF) onset in over 50% of patients with transthyretin amyloid cardiomyopathy (ATTR-CM) using advanced mathematical techniques. It aligns with the 2024 ESC and 2023 ACC/AHA/HRS guidelines, emphasizing enhanced rhythm monitoring and early anticoagulation. The proposed algorithm aims to improve precision rhythm management and operationalize clinical recommendations for this high-risk patient population.
- Author
- Dale Srinivas
- Language
- EN