An artificial intelligence-based approach for selecting the optimal day for triggering in antagonist protocol cycles-Reference-Cited by-同舟云学术

An artificial intelligence-based approach for selecting the optimal day for triggering in antagonist protocol cycles

Published:2024-01 Issue:1 Volume:48 Page:103423
ISSN:1472-6483
Container-title:Reproductive BioMedicine Online
language:en
Short-container-title:Reproductive BioMedicine Online

Author:

Reuvenny Shachar,Youngster Michal^ORCID,Luz Almog,Hourvitz Rohi,Maman Ettie,Baum Micha,Hourvitz Ariel

Publisher

Elsevier BV

Subject

Developmental Biology,Reproductive Medicine,Obstetrics and Gynecology

Reference18 articles.

1. Empty follicle syndrome: successful treatment in a recurrent case and review of the literature;Beck-Fruchter;Hum. Reprod.,2012

2. ESHRE guideline: ovarian stimulation for IVF/ICSI;Bosch;Hum Reprod Open,2020

3. Trends in the probability of suboptimal response to gonadotropin-releasing hormone agonist trigger and the factors that predict trigger failure;Chantal;Fertil. Steril.,2019

4. Timing of human chorionic gonadotropin (hCG) hormone administration in IVF/ICSI protocols using GnRH agonist or antagonists: A systematic review and meta-analysis;Chen;Gynecol. Endocrinol.,2014

5. Cumulative live birth rates and number of oocytes retrieved in women of advanced age. A single centre analysis including 4500 women ≥38 years old;Devesa;Hum. Reprod.,2018

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimizing workload balance using artificial intelligence;Fertility and Sterility;2024-07

2. Predictive strategies for oocyte maturation in IVF cycles: from single indicators to integrated models;Middle East Fertility Society Journal;2024-06-20