AI-ECG-HF

Biomarker

1 paper studies it1 finding

1 new paper in 30 daysSee all 1

  • Humans1

Associations

1

Heart failure

upin silico1

1 study
  1. AI-ECG-HF predicts heart failure in silico (C-index 0.765 (95% CI 0.756-0.773)).

    “Our model achieved C-indices of 0.765 [95% confidence interval (CI) 0.756-0.773] internally on Harvard-Emory”

    In silicointernal validation in Harvard-Emory cohortn = 18,769

    Heart tracing model ranks heart failure risk across populations

    ESC Congress 2026 abstract

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ESC Congress 2026 Abstract

Heart tracing model ranks heart failure risk across populations

In UK Biobank, the model outperformed three established clinical risk scores, with 6.9% to 22.5% relative improvements in risk-ranking performance.In UK Biobank, the model outperformed three established clinical risk scores, with 6.9% to 22.5% relative improvements in risk-ranking performance.

Cross-sectional studyHeart failure