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

Journal: International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
Published Date: Oct 4, 2023

Abstract

OBJECTIVE: Fetal anomaly screening via ultrasonography, which involves capturing and interpreting standard views, is highly challenging for inexperienced operators. We aimed to develop and validate a prenatal-screening artificial intelligence system (PSAIS) for real-time evaluation of the quality of anatomical images, indicating existing and missing structures.

Authors

  • Ting Lei
  • Jie Ling Feng
    Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Mei Fang Lin
    Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
  • Bai Hong Xie
    Guangzhou Aiyunji Information Technology Co., Ltd, Guangzhou, Guangdong, China.
  • Qian Zhou
    Department of Computer Science, City University of Hong Kong, Hong Kong, Hong Kong SAR, China.
  • Nan Wang
    Department of Gastroenterology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
  • Qiao Zheng
  • Yan Dong Yang
    Department of Ultrasonic Medicine, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Hong Mei Guo
    Department of Ultrasonic Medicine, DongGuan City Maternal and Child Health Hospital, DongGuan, China.
  • Hong Ning Xie
    Department of Ultrasonic Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.

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