Volume 9, Issue 3 (2024)
SJMR 2024, 9(3): 171-176 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Shafti V, Azarboo A. Artificial Intelligence Model Using Endometrial Analysis as A Predictor of Assisted Reproductive Technology Success During Embryo Transfer - A Review Article. SJMR 2024; 9 (3) : 5
URL: http://saremjrm.com/article-1-313-en.html
URL: http://saremjrm.com/article-1-313-en.html
1- School of Medicine, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran
2- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
2- School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
Abstract: (387 Views)
The integration of artificial intelligence (AI) into assisted reproductive technology (ART) has emerged as a transformative approach to enhance the success rates of in vitro fertilization (IVF) and other reproductive interventions. One significant advancement in this field developing the EndoClassify model, which utilizes endometrial analysis to predict ART outcomes. This article explores the methodology, findings, and implications of using AI for assessing endometrial receptivity and improving embryo transfer success.
Article number: 5
Article Type: Systematical Review |
Subject:
Sterility
Received: 2024/11/5 | Accepted: 2024/12/15 | Published: 2025/01/18
Received: 2024/11/5 | Accepted: 2024/12/15 | Published: 2025/01/18
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
