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.

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Nature Portfolio 2022-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-022-34245-1