Investigating artificial intelligence in predicting and evaluating sperm and embryo quality in the in vitro fertilization (IVF): a systematic review

Abstract Importance Assisted Reproductive Technologies have been developed to address infertility by improving embryo selection. Artificial intelligence (AI), using Time-Lapse Imaging, enhances predictions from fertilization to the blastocyst stage. Objective Studies show that AI can identify suitab...

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Bibliographic Details
Main Authors: Shahrzad kaveh, Aida Ghaffari, Solmaz Sohrabei
Format: Article
Language:English
Published: Springer 2025-07-01
Series:Discover Artificial Intelligence
Online Access:https://doi.org/10.1007/s44163-025-00420-8
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