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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?
An artificial intelligence framework has been developed to predict atrial fibrillation (AF) onset in over 50% of patients with transthyretin amyloid cardiomyopathy (ATTR-CM) using advanced mathematical techniques. The AI model aligns with the latest ESC and ACC/AHA/HRS guidelines, recommending intensified monitoring and early intervention for patients with a predicted AF risk greater than 25%. Continuous monitoring is advised for high-risk patients due to their increased thromboembolic risk.
- Author
- Dale Srinivas
- Language
- EN