What does the research say about AI-ECG age prediction?

AI-ECG age prediction

There is 1 paper on AI-ECG age prediction in aging research: 1 observational study in people. The newest story, Nov 9, 2026: “AI heart-test predictions varied within hospitalized patients”.

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“Reliability varied across tasks, with age being the most reproducible task (ICC 0.84/0.78/0.77 in BIDMC/MGH/EUH).”

Reproducibility of AI-ECG Predictions: Within-Patient Reliability of AI-ECG Across Nine Prediction Tasks and Three Multi-Centre CohortsAHA Scientific Sessions 2026 abstract2026doi:10.1161/circ.154.suppl_1.9994

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Within-patient prediction reliability

mixedin humans1

1 study

AI-ECG age prediction is associated with within-patient prediction reliability in humans (Repeated ECG recordings during a single hospitalization) (ICC 0.84/0.78/0.77 in BIDMC/MGH/EUH; highest reliability among tasks).
“Reliability varied across tasks, with age being the most reproducible task (ICC 0.84/0.78/0.77 in BIDMC/MGH/EUH).”
HumansRepeated ECG recordings during a single hospitalization5–6 days
AI heart-test predictions varied within hospitalized patients
AHA Scientific Sessions 2026 abstractNov 2, 2026

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1 paper in 12 months

AHA Scientific Sessions 2026 AbstractNov 9

AI heart-test predictions varied within hospitalized patients

Disagreement rates across repeated heart recordings ranged from 14.3% to 24.5% for disease prediction tasks.Disagreement rates across repeated heart recordings ranged from 14.3% to 24.5% for disease prediction tasks.

Cohort studyBiomarkers