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HEART DISEASE

Deep learning for detecting congenital heart disease in the fetus

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New advances in machine learning could facilitate and reduce disparities in the prenatal diagnosis of congenital health disease, the most common and lethal birth defect.

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Fig. 1: Conflicting drivers of prenatal diagnosis of CHD, and the mechanism by which technological advances such as machine learning have the potential to both improve access but also possibly increase disparities.

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Authors and Affiliations

  1. Department of Pediatrics, Division of Pediatric Cardiology, Baylor College of Medicine and Texas Children’s Hospital, Houston, TX, USA

    Shaine A. Morris & Keila N. Lopez

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  1. Shaine A. Morris
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  2. Keila N. Lopez
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Correspondence to Shaine A. Morris.

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The authors declare no competing interests.

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Morris, S.A., Lopez, K.N. Deep learning for detecting congenital heart disease in the fetus. Nat Med 27, 764–765 (2021). https://doi.org/10.1038/s41591-021-01354-1

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