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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
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, A...
Autores principales: | Zhang, Liwen, Dong, Di, Sun, Yongqing, Hu, Chaoen, Sun, Congxin, Wu, Qingqing, Tian, Jie |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214589/ https://www.ncbi.nlm.nih.gov/pubmed/35727579 http://dx.doi.org/10.1001/jamanetworkopen.2022.17854 |
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