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vents score (p = 0.0012). Conclusion The new prediction score model based on TBil could be used in clinical practice to support risk stratification as recommended in the clinical guidelines.Background Left atrial enlargement (LAE) can independently predict the development of a variety of cardiovascular diseases. Objectives This study sought to develop an artificial intelligence approach for the detection of LAE based on 12-lead electrocardiography (ECG). Methods The study population came from an epidemiological survey of heart disease i
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