Echocardiography-derived age

Biomarker

2 papers4 findings

  • Humans2

Associations

4

Cardiovascular disease

upin silico1

1 study
  1. Echocardiography-derived age raises the risk of cardiovascular disease in silico.

    “Stratification by age prediction revealed associations with increased risk of coronary artery disease, heart failure, and stroke.”

    In silicon = 90,738

    Artificial Intelligence Prediction of Age from Echocardiography as a Marker for Cardiovascular Disease

    medRxiv : the preprint server for health sciences26 Mar 2025Preprint

More on Cardiovascular disease

Chronological age

upin silico1

1 study
  1. Echocardiography-derived age predicts chronological age in silico (MAE 6.76 years, R2 0.732).

    “our AI age prediction model achieved a mean absolute error (MAE) of 6.76 (6.65 - 6.87) years and a coefficient of determination (R2) of 0.732 (0.72 - 0.74).”

    In silicon = 90,738

    Artificial Intelligence Prediction of Age from Echocardiography as a Marker for Cardiovascular Disease

    medRxiv : the preprint server for health sciences26 Mar 2025Preprint

Mortality

upin humans1+34% increased risk for death

1 study
  1. Echocardiography-derived age predicts mortality in humans (34% increased risk for death).

    “age prediction ≥5 years vs chronologic age was associated with an independent 34% increased risk for death during follow-up (P < .001).”

    Humanspredicted age at least 5 years above chronologic ageduring follow-up

    Artificial Intelligence Assessment of Biological Age From Transthoracic Echocardiography: Discrepancies with Chronologic Age Predict Significant Excess Mortality

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography11 May 2024

Chronologic age

upin humans1

1 study
  1. Echocardiography-derived age is associated with chronologic age in humans (Pearson r = 0.922; mean absolute error 4.9 years).

    “The mean absolute error in age estimation was 4.9 years, with a Pearson correlation coefficient of 0.922.”

    Humansheart

    Artificial Intelligence Assessment of Biological Age From Transthoracic Echocardiography: Discrepancies with Chronologic Age Predict Significant Excess Mortality

    Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography11 May 2024

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