【Abstract】 The electrocardiogram (ECG) remains the most commonly used screening tool for cardiac diseases. Although cardiac hypertrophy, dilation, and enlargement are important causes of heart failure and sudden death, they are mainly diagnosed via echocardiography after symptom onset, due to the low sensitivity of human ECG interpretation. This study challenges the mainstream diagnostic methodology by implementing a reduced-channel deep learning–based model that utilizes an ECG (or a four-channel ECG) as a single data source for early diagnosis.