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Development and validation of an artificial intelligence assisted prenatal ultrasonography screening system for trainees.

Ting LeiJie Ling FengMei Fang LinBai Hong XieQian ZhouNan WangQiao ZhengYan Dong YangHong Mei GuoHong-Ning Xie
Published in: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics (2023)
An artificial intelligence system developed to assist trainees in fetal anomaly screening demonstrated high agreement with experts in standard view identification.
Keyphrases
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • general practice
  • magnetic resonance imaging
  • pregnant women
  • computed tomography
  • contrast enhanced
  • primary care