ECG2HF

Papers on ECG2HF

5 papers4 new in 30 days

Saturday, November 7

Journal of Cardiac Failure

Heart-tracing model predicted two types of heart failure

Artificial intelligence beat a clinical risk-factor model for predicting one subtype, scoring 0.86 versus 0.78, but scored modestly lower for the other.Artificial intelligence beat a clinical risk-factor model for predicting one subtype, scoring 0.86 versus 0.78, but scored modestly lower for the other.

Figure from Journal of Cardiac Failure
Cohort studyHeart failure
AHA Scientific Sessions 2026 Abstract

Heart-tracing model predicts two types of heart failure

In Massachusetts General Hospital’s test group, 10-year prediction scores were 0.87 for heart failure with reduced ejection fraction and 0.79 for preserved ejection…In Massachusetts General Hospital’s test group, 10-year prediction scores were 0.87 for heart failure with reduced ejection fraction and 0.79 for preserved ejection fraction.

Heart cutaways show a large, wide chamber beside a smaller, narrow chamber, surrounded by upright figures, one wearing chest electrodes.
Cohort studyHeart failure

Monday, October 26

ESC Congress 2026 Abstract

Combining health records and heart tests predicts heart failure

In the UK Biobank, combining three risk tools scored 0.811 for distinguishing future heart failure, versus 0.788 for clinical risk factors alone.In the UK Biobank, combining three risk tools scored 0.811 for distinguishing future heart failure, versus 0.788 for clinical risk factors alone.

Heart cross-sections with branching conduction tissue contrast thick and thin walls, with small groups of upright people beside them.
Cohort · 51,237 peopleHeart failure

Tuesday, February 24