The diagnostic efficiency of artificial intelligence based 2hours Holter monitoring in premature ventricular and supraventricular contractions detection
Key Points:
- Evaluates the accuracy and reliability of AI-based 2-hour Holter monitoring in detecting premature ventricular and supraventricular contractions.
- Discusses the advantages of AI in reducing monitoring time while maintaining high diagnostic sensitivity and specificity.
- Explores the implications for early arrhythmia detection, clinical decision-making, and patient outcomes.
Description
“The Diagnostic Efficiency of Artificial Intelligence-Based 2-Hour Holter Monitoring in Premature Ventricular and Supraventricular Contractions Detection” explores how AI-driven algorithms enhance the accuracy and efficiency of short-duration Holter monitoring in detecting arrhythmias. It examines the potential of AI in revolutionizing cardiac diagnostics.
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