AgingResearch.NewsJoin free

AIHF-Base

There is 1 paper on AIHF-Base in aging research: 1 observational study in people. The newest story, Nov 10, 2026: “Health record models offer similar heart failure prediction”.

Biomarker

1 paper studies it1 finding

1 new paper in 30 daysSee all 1 papers on AIHF-Base

“The AIHF-Base model achieved an AUC of 0.847 in the Stanford cohort and 0.750 in the VA cohort.”
Explainable Machine Learning for Predicting Incident Heart Failure from Routine Electronic Health Record DataJournal of cardiac failure2026doi:10.1016/j.cardfail.2026.08.013
  • Humans1

Associations

1

Incident heart failure

upin humans1

1 study

  1. AIHF-Base predicts incident heart failure in humans (Stanford and independent Veterans Affairs cohorts) (AUC 0.847 in Stanford; 0.750 in VA).

    “The AIHF-Base model achieved an AUC of 0.847 in the Stanford cohort and 0.750 in the VA cohort.”

    HumansStanford and independent Veterans Affairs cohorts5-year prediction horizon

    Health record models offer similar heart failure prediction

    Journal of cardiac failure

More on Incident heart failure

Latest

Dec 2025: 0Jan 2026: 0Feb 2026: 0Mar 2026: 0Apr 2026: 0May 2026: 0Jun 2026: 0Jul 2026: 0Aug 2026: 0Sep 2026: 0Oct 2026: 0Nov 2026: 11 paper in 12 months
Journal of Cardiac Failure

Health record models offer similar heart failure prediction

The base model scored 0.847 in Stanford records and 0.750 in Veterans Affairs records, performing comparably to two established heart failure prediction tools.The base model scored 0.847 in Stanford records and 0.750 in Veterans Affairs records, performing comparably to two established heart failure prediction tools.

Cohort studyHeart failure
Paper

Related