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Prediction of Pulmonary to Systemic Flow Ratio in Patients With Congenital Heart Disease Using Deep Learning–Based Analysis of Chest Radiographs
IMPORTANCE: Chest radiography is a useful noninvasive modality to evaluate pulmonary blood flow status in patients with congenital heart disease. However, the predictive value of chest radiography is limited by the subjective and qualitive nature of the interpretation. Recently, deep learning has be...
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| Veröffentlicht in: | JAMA Cardiol |
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| Hauptverfasser: | , , , , , , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Medical Association
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6990846/ https://ncbi.nlm.nih.gov/pubmed/31968049 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamacardio.2019.5620 |
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