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Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
Published on: December 5, 2025
Artificial Intelligence-Derived ECG-Age as a Predictor of Mortality and Cardiovascular Events: A Systematic Review
Isadora Cristine Reis Sguizzato Bozzi1,2, Maria Clara de Araujo Gontijo Lima2, Antonio Luiz Pinho Ribeiro1,2
1Centro de Telessaúde, Hospital das Clínicas da Universidade Federal de Minas Gerais, Belo Horizonte, MG - Brasil.
Arquivos Brasileiros De Cardiologia
|June 17, 2026
Summary
Artificial intelligence (AI)-derived electrocardiographic age (ECG-age) shows that a higher delta-age is linked to increased mortality. This biomarker may help assess cardiovascular aging and predict adverse outcomes.
Area of Science:
- Cardiology
- Artificial Intelligence
- Biomarkers
Background:
- Artificial intelligence (AI)-derived electrocardiographic age (ECG-age) and delta-age are emerging biomarkers for cardiovascular aging.
- Their prognostic value for adverse clinical outcomes is not yet fully understood.
Purpose of the Study:
- To systematically review and meta-analyze the associations between AI-derived ECG-age or delta-age and clinical outcomes.
- To evaluate the prognostic significance of these novel biomarkers.
Main Methods:
- A systematic review and meta-analysis of studies published up to May 1, 2025.
- Included studies evaluated mortality or cardiovascular events, reporting measures of association.
- Pooled hazard ratios (pHRs) were calculated using fixed- or random-effects models.
Main Results:
- Ten studies with over 550,000 participants were analyzed.
- Elevated delta-age was significantly associated with increased all-cause mortality (pHR = 1.83) and cardiovascular mortality (pHR = 2.63).
- A suggestive but limited association was found with atrial fibrillation (pHR = 1.96); preliminary data indicate prediction of heart failure and stroke.
Conclusions:
- AI-derived ECG-age, especially delta-age, is a promising noninvasive biomarker for cardiovascular aging, linked to mortality.
- Further research, including standardized algorithms and external validation, is necessary to confirm clinical utility.
- Integration into risk stratification for asymptomatic individuals may be possible in the future.
Related Concept Videos
01:29Electrocardiogram
An electrocardiogram (ECG or EKG) is a critical diagnostic tool that records the electrical signals produced by the heart during each heartbeat. This recording is achieved through electrodes placed strategically on the arms, legs, and chest. The electrocardiograph amplifies these signals and produces 12 distinct tracings, offering a comprehensive understanding of the heart's electrical activity.
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and the T...
Three major waveforms are present in a typical ECG recording: the P wave, the QRS complex, and the T...
01:25Correlation between ECG and Cardiac Cycle
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...