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Development and Validation of a Deep Learning Model to Screen for Trisomy 21 During the First Trimester From Nuchal Ultrasonographic Images

21 Jun 2022

Abstract excerpt

Importance: Accurate screening of trisomy 21 in the first trimester can provide an early opportunity for decision-making regarding reproductive choices. Objective: To develop and validate a deep learning model for screening fetuses with trisomy 21 based on ultrasonographic images. Design, Setting, and Participants: This diagnostic study used data from all available cases and controls enrolled at 2 hospitals in...

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Share to Assisted Reproductive Technology and Twin Pregnancy
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PMID: 35727579
DOI: 10.1001/jamanetworkopen.2022.17854

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