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AI supported fetal echocardiography with quality assessment

9 Mar 2024

Abstract excerpt

This study aimed to develop a deep learning model to assess the quality of fetal echocardiography and to perform prospective clinical validation. The model was trained on data from the 18-22-week anomaly scan conducted in seven hospitals from 2008 to 2018. Prospective validation involved 100 patients from two hospitals. A total of 5363 images from 2551 pregnancies were used for training and validation. The...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 38461322
DOI: 10.1038/s41598-024-56476-6

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