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This paper is in the following e-collection/theme issue:

Machine Learning (2295) Obstetrics, Gynecology, and Reproductive Medicine (353) Decision Support for Health Professionals (1683) Computer-Aided Diagnosis (285) Applications of AI (374)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/84087, first published .
Adverse Pregnancy Outcomes in Women With Immune Abnormalities: Machine Learning Model Development and Validation Using First-Trimester Sonographic Features

Adverse Pregnancy Outcomes in Women With Immune Abnormalities: Machine Learning Model Development and Validation Using First-Trimester Sonographic Features

Adverse Pregnancy Outcomes in Women With Immune Abnormalities: Machine Learning Model Development and Validation Using First-Trimester Sonographic Features

Authors of this article:

Shijin Xu1 Author Orcid Image ;   Yan Jiang2 Author Orcid Image ;   Qiaoyu Zhang1 Author Orcid Image ;   Qiao Xu1 Author Orcid Image ;   Qinxin Wang1 Author Orcid Image ;   Chang Zhou1 Author Orcid Image ;   Rong Liu1 Author Orcid Image ;   Yun Liu1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Shijin Xu   1 , BMed ;   Yan Jiang   2 , MMed ;   Qiaoyu Zhang   1 , BMed ;   Qiao Xu   1 , BMed ;   Qinxin Wang   1 , MMed ;   Chang Zhou   1 , MMed ;   Rong Liu   1 , MD ;   Yun Liu   1 , MD

1 Department of Ultrasound Imaging, The First College of Clinical Medical Science, China Three Gorges University & Yichang Central People’s Hospital, Yichang, China

2 Department of Ultrasound, Aerospace Center Hospital, Beijing, China

Corresponding Author:

  • Yun Liu, MD
  • Department of Ultrasound Imaging
  • The First College of Clinical Medical Science, China Three Gorges University & Yichang Central People’s Hospital
  • No. 183 Yiling Road
  • Yichang 443000
  • China
  • Phone: 86 19071786542
  • Email: liuyun2015@foxmail.com