U.S., April 10 -- ClinicalTrials.gov registry received information related to the study (NCT07519434) titled 'AI-ECG for Time-Resolved Prediction of HFrEF' on April 02.
Brief Summary: This study aims to develop and validate a deep learning-based electrocardiogram (ECG) model for predicting the future risk of heart failure with reduced ejection fraction (HFrEF). The model is trained using raw 12-lead ECG data and generates individualized, time-resolved risk estimates over a 5-year period.
Data are obtained from multiple cohorts, including Zhongshan Hospital, Shanghai Tenth People's Hospital, and Beth Israel Deaconess Medical Center, representing diverse populations across China and the United States. The model is designed to identify indiv...