A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram
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.
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2022-11-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-022-34245-1 |