Nature Communications (Aug 2021)

Deep neural network-estimated electrocardiographic age as a mortality predictor

  • Emilly M. Lima,
  • Antônio H. Ribeiro,
  • Gabriela M. M. Paixão,
  • Manoel Horta Ribeiro,
  • Marcelo M. Pinto-Filho,
  • Paulo R. Gomes,
  • Derick M. Oliveira,
  • Ester C. Sabino,
  • Bruce B. Duncan,
  • Luana Giatti,
  • Sandhi M. Barreto,
  • Wagner Meira Jr,
  • Thomas B. Schön,
  • Antonio Luiz P. Ribeiro

DOI
https://doi.org/10.1038/s41467-021-25351-7
Journal volume & issue
Vol. 12, no. 1
pp. 1 – 10

Abstract

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The electrocardiogram (ECG) is the most commonly used exam for the screening and evaluation of cardiovascular diseases. Here, the authors propose that the age predicted by artificial intelligence from the raw ECG tracing can be a measure of cardiovascular health and provide prognostic information.