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November 18, 2025npj Digital MedicineOpen Access

Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease

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Authors

MRMeenal RawlaniHIHirotaka IekiCBChristina Binder

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Overview

Deep learning model predicts age from echocardiography, highlighting risks for coronary artery disease and stroke.

Key Points

  • To develop a deep learning model for predicting biological age from echocardiography to assess cardiovascular aging and disease risk.
  • Utilized a deep learning model on 2,610,266 echocardiogram videos from 166,508 studies
  • Achieved a mean absolute error of 6.76 years and R² of 0.732 on test data
  • Performed external validation across four cohorts
  • Guided back propagation analysis identified key focus areas including the mitral valve
  • Model successfully predicted age linked to increased risk of coronary artery disease, heart failure, and stroke
  • Highlighted model's ability to capture discontinuities before and after heart transplant
  • Consistent performance verified across multiple validation cohorts

Cite This Study

Rawlani et al. (2025) studied this question.

synapsesocial.com/papers/6924feebc0ce034ddc351b1fhttps://doi.org/10.1038/s41746-025-02050-x
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Also Consider

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  1. 1Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease2025 · 1 citations
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