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Deep learning enables robust assessment and selection of human blastocysts after in vitro fertilization

4 Apr 2019

Abstract excerpt

Visual morphology assessment is routinely used for evaluating of embryo quality and selecting human blastocysts for transfer after in vitro fertilization (IVF). However, the assessment produces different results between embryologists and as a result, the success rate of IVF remains low. To overcome uncertainties in embryo quality, multiple embryos are often implanted resulting in undesired multiple pregnancies...

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PMID: 31304368
DOI: 10.1038/s41746-019-0096-y

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