Calibration of ECG-Based Deep-Learning Algorithm Scores for Patients Flagged as High Risk for Hypertrophic Cardiomyopathy

Using the raw scores from an out-of-the-box–FDA–cleared algorithm for the identification of HCM from ECGs may have low PPV for identifying patients who truly have HCM. Calibration of scores for those flagged can improve the interpretability of the scores in terms of disease probability.