Artificial intelligence and assisted reproductive technology: A comprehensive systematic review

Artificial intelligence and assisted reproductive technology: A comprehensive systematic review

The objective of this review is to evaluate the contributions of Artificial Intelligence (AI) to Assisted Reproductive Technologies (ART), focusing on its role in enhancing the processes and outcomes of fertility treatments. This study analyzed 48 relevant articles to assess the impact of AI on vari...

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Bibliographic Details
Main Authors: Yen-Chen Wu, Emily Chia-Yu Su, Jung-Hsiu Hou, Ching-Jung Lin, Krystal Baysan Lin, Chi-Huang Chen
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Taiwanese Journal of Obstetrics & Gynecology
Subjects:
Artificial intelligence
Assisted reproductive technology
Machine learning
Embryo selection
Treatment outcome prediction
Online Access:http://www.sciencedirect.com/science/article/pii/S1028455924002742
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