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A formal validation of a deep learning-based automated workflow for the interpretation of the echocardiogram
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- 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.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.399be6a8039f45d19de79a68ec302dd6
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-34245-1