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Exploring the role of artificial intelligence in the study of fetal heart.

作者信息

Rizzo Giuseppe, Pietrolucci Maria Elena, Capponi Alessandra, Mappa Ilenia

机构信息

Department of Obstetrics and Gynecology, Fondazione Policlinico Tor Vergata, Università Di Roma Tor Vergata, Roma, Italy.

Department of Obstetrics and Gynecology Roma, Azienda Ospedaliera S. Giovanni Addolorata, Roma, Italy.

出版信息

Int J Cardiovasc Imaging. 2022 May;38(5):1017-1019. doi: 10.1007/s10554-022-02588-x. Epub 2022 Mar 16.

DOI:10.1007/s10554-022-02588-x
PMID:35296945
Abstract
摘要

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Evolution of Fetal Cardiac Imaging over the Last 20 Years.

本文引用的文献

1
Application of machine learning in screening for congenital heart diseases using fetal echocardiography.机器学习在利用胎儿超声心动图筛查先天性心脏病中的应用。
Int J Cardiovasc Imaging. 2022 May;38(5):1007-1015. doi: 10.1007/s10554-022-02566-3. Epub 2022 Feb 22.
2
Exploring a new paradigm for the fetal anomaly ultrasound scan: Artificial intelligence in real time.探索胎儿异常超声扫描的新模式：实时人工智能。
Prenat Diagn. 2022 Jan;42(1):49-59. doi: 10.1002/pd.6059. Epub 2021 Oct 18.
3
Satisfactory rate of postprocessing visualization of standard fetal cardiac views from 4-dimensional cardiac volumes acquired during routine ultrasound practice by experienced sonographers in peripheral centers.
过去20年胎儿心脏成像的发展
Diagnostics (Basel). 2023 Nov 22;13(23):3509. doi: 10.3390/diagnostics13233509.
4
E-Health: A Game Changer in Fetal and Neonatal Cardiology?电子健康：胎儿与新生儿心脏病学的变革者？
J Clin Med. 2023 Oct 30;12(21):6865. doi: 10.3390/jcm12216865.
在周边中心由有经验的超声医师进行常规超声检查获取的 4 维心脏容积中，标准胎儿心脏切面的后处理可视化的满意度。
J Ultrasound Med. 2011 Jan;30(1):93-9. doi: 10.7863/jum.2011.30.1.93.
4
Automated retrieval of standard diagnostic fetal cardiac ultrasound planes in the second trimester of pregnancy: a prospective evaluation of software.妊娠中期标准诊断性胎儿心脏超声平面的自动检索：软件的前瞻性评估
Ultrasound Obstet Gynecol. 2008 Jan;31(1):30-6. doi: 10.1002/uog.5228.