The Role and Efficacy of Artificial Intelligence Algorithms in the Early Diagnosis of Acute Myocardial Infarction

The article explores the integration and clinical efficacy of artificial intelligence (AI) algorithms in the early diagnosis of acute myocardial infarction (AMI). Despite advancements in cardiology, timely detection of AMI remains a critical challenge for reducing mortality rates. The study analyzes the comparative effectiveness of machine learning models and neural networks in interpreting electrocardiograms (ECG) and biochemical markers. Results indicate that AI-driven diagnostics significantly improve accuracy and reduce the time required for clinical decision-making. The findings suggest that implementing AI systems in emergency departments can serve as a vital tool for physicians in optimizing patient outcomes.