There are 2 papers on AI-predicted ECG age in aging research: 2 observational studies in people.
2 papers study it2 more mention it3 findings
2 new papers in 30 daysSee all 4 papers on AI-predicted ECG age
“0.642 and 0.700 (P = 0.003) for younger patients (CA < 60 years)”
- Humans2
Effects
1Cardiovascular events
no changein humans1
1 study
Cardiovascular events
no changein humans1
AI-predicted ECG age was not clearly linked with cardiovascular events in humans (older patients) (AUC 0.570 vs 0.584, P = 0.268).
“0.584 and 0.570 (P = 0.268) for older patients (CA ≥ 60 years)”
Humansolder patients
Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms
International journal of cardiology. Heart & vasculature
Associations
2Chronological age
upin humans1
1 study
Chronological age
upin humans1
AI-predicted ECG age is associated with chronological age in humans (Healthy athletes without structural heart disease) (ECG age exceeded chronological age by 5.15±6.41 years; Pearson r = 0.571, p<0.001).
“AI-predicted ECG age exceeded chronological age by 5.15±6.41 years (Pearson r = 0.571, p<0.001)”
HumansHealthy athletes without structural heart disease86.5% malesn = 738
AHA Scientific Sessions 2026 abstract
Cardiovascular events
upin humans1
1 study
Cardiovascular events
upin humans1
AI-predicted ECG age predicts cardiovascular events in humans (younger patients) (AUC 0.700 vs 0.642, P = 0.003).
“0.642 and 0.700 (P = 0.003) for younger patients (CA < 60 years)”
Humansyounger patients
Cardiovascular events and artificial intelligence-predicted age using 12-lead electrocardiograms
International journal of cardiology. Heart & vasculature