
The sudden emergence of sophisticated deep learning models has effectively transformed the standard twelve-lead electrocardiogram from a simple rhythm strip into a powerful predictive tool capable of mapping internal cardiac anatomy with surprising precision. For decades, medical professionals relied on the electrocardiogram, or ECG, primarily to monitor the electrical rhythm of the heart, identifying arrhythmias or acute ischemic events through










