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Deep learning for detecting congenital heart disease in the fetus

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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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).

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