Nature Communications (Nov 2022)

A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram

  • Jasper Tromp,
  • David Bauer,
  • Brian L. Claggett,
  • Matthew Frost,
  • Mathias Bøtcher Iversen,
  • Narayana Prasad,
  • Mark C. Petrie,
  • Martin G. Larson,
  • Justin A. Ezekowitz,
  • Scott D. Solomon

DOI
https://doi.org/10.1038/s41467-022-34245-1
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 9

Abstract

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Deep learning can automate the interpretation of medical imaging tests. Here, the authors formally assess the interchangeability of deep learning algorithms with expert human measurements for interpreting echocardiographic studies.