Artificial intelligence model to predict pregnancy and multiple pregnancy risk following in vitro fertilization-embryo transfer (IVF-ET).

Journal: Taiwanese journal of obstetrics & gynecology
Published Date: Sep 1, 2022

Abstract

OBJECTIVE: To decrease multiple pregnancy risk and sustain optimal pregnancy chance by choosing suitable number of embryos during transfer, this study aims to construct artificial intelligence models to predict the pregnancy outcome and multiple pregnancy risk after IVF-ET.

Authors

  • Jen-Yu Wen
    Center for Reproductive Medicine, Depart of Obstetrics and Gynecology, Chi Mei Medical Center, Tainan, Taiwan.
  • Chung-Fen Liu
    Center for Big Medical Data and AI Computing, Chi Mei Medical Center, Tainan, Taiwan.
  • Ming-Ting Chung
    Center for Reproductive Medicine, Depart of Obstetrics and Gynecology, Chi Mei Medical Center, Tainan, Taiwan.
  • Yung-Chieh Tsai
    Center for Reproductive Medicine, Depart of Obstetrics and Gynecology, Chi Mei Medical Center, Tainan, Taiwan; Department of Sport Management, Chia Nan University of Pharmacy and Science, Tainan, Taiwan. Electronic address: yung0613@ms2.hinet.net.

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