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...

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Detalles Bibliográficos
Autores principales: Zhang, Liwen, Dong, Di, Sun, Yongqing, Hu, Chaoen, Sun, Congxin, Wu, Qingqing, Tian, Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Association 2022
Materias:
Original Investigation
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

Internet

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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