Clinical outcomes of single blastocyst transfer with machine learning guided noninvasive chromosome screening grading system in infertile patients.

Journal: Reproductive biology and endocrinology : RB&E
PMID: 38783347

Abstract

BACKGROUND: Prospective observational studies have demonstrated that the machine learning (ML) -guided noninvasive chromosome screening (NICS) grading system, which we called the noninvasive chromosome screening-artificial intelligence (NICS-AI) grading system, can be used embryo selection. The current prospective interventional clinical study was conducted to investigate whether this NICS-AI grading system can be used as a powerful tool for embryo selection.

Authors

  • Xiaoxi Li
    Faculty of Electronic Information and Electrical Engineering, School of Information and Communication Engineering, Dalian University of Technology, Dalian, LiaoNing Province, China.
  • Yaxin Yao
    Department of Clinical Research, Yikon Genomics Company, Ltd., Suzhou, China.
  • Dunmei Zhao
    Department of Biochemistry and Molecular Biology, Medical College, Soochow University, Suzhou, Jiangsu China.
  • Xiufeng Chang
    Reproductive Medicine Department of Hebei Maternity Hospital, Shijiazhuang, China.
  • Yi Li
    Wuhan Zoncare Bio-Medical Electronics Co., Ltd, Wuhan, China.
  • Huilan Lin
    Reproductive Medicine Department of Hebei Maternity Hospital, Shijiazhuang, China.
  • Huijuan Wei
    Reproductive Medicine Department of Hebei Maternity Hospital, Shijiazhuang, China.
  • Haiye Wang
    Reproductive Medicine Department of Hebei Maternity Hospital, Shijiazhuang, China.
  • Ying Mi
    Reproductive Medicine Department of Hebei Maternity Hospital, Shijiazhuang, China.
  • Lei Huang
    School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • Sijia Lu
    Department of Clinical Research, Yikon Genomics Company, Ltd., Suzhou, China. lusijia@yikongenomics.com.
  • Weimin Yang
    Reproductive Medicine Department of Hebei Maternity Hospital, Shijiazhuang, China. 18762807806@163.com.
  • Liyi Cai
    Reproductive Medicine Department of Hebei Maternity Hospital, Shijiazhuang, China. cai760829@163.com.

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