Artificial Intelligence-Empowered Embryo Selection for IVF Applications: A Methodological Review

Artificial Intelligence-Empowered Embryo Selection for IVF Applications: A Methodological Review

In vitro fertilization (IVF) is a well-established and efficient assisted reproductive technology (ART). However, it requires a series of costly and non-trivial procedures, and the success rate still needs improvement. Thus, increasing the success rate, simplifying the process, and reducing costs ar...

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Bibliographic Details
Main Authors: Lazaros Moysis, Lazaros Alexios Iliadis, George Vergos, Sotirios P. Sotiroudis, Achilles D. Boursianis, Achilleas Papatheodorou, Konstantinos-Iraklis D. Kokkinidis, Mohammad Abdul Matin, Panagiotis Sarigiannidis, Ilias Siniosoglou, Vasileios Argyriou, Sotirios K. Goudos
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Machine Learning and Knowledge Extraction
Subjects:
artificial intelligence
assisted reproductive technology
computer vision
deep learning
embryo selection
image processing
Online Access:https://www.mdpi.com/2504-4990/7/2/56
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