Enhancing assisted reproductive technology with AI: Addressing concerns and challenges

Astha Puri 1, *, Rohan Mathur 2 and Nehal Sindhu 3

1 Carlson School of Management, University of Minnesota, USA.
2 UCLA Anderson School of Management, USA.
3 University of California Berkeley, USA.
 
Review
International Journal of Science and Research Archive, 2024, 12(01), 745–747.
Article DOI: 10.30574/ijsra.2024.12.1.0859
Publication history: 
Received on 07 April 2024; revised on 12 May 2024; accepted on 15 May 2024
 
Abstract: 
Assisted Reproductive Technology (ART) has revolutionized fertility treatments, yet it faces numerous challenges, including high costs, lengthy procedures, and variable success rates. Artificial Intelligence (AI) holds the potential to address these concerns by optimizing treatment protocols, improving embryo selection, and enhancing patient counseling. This paper explores the integration of AI into ART, highlighting its role in predictive modeling, image analysis, and personalized medicine. By leveraging AI algorithms, ART can become more efficient, cost-effective, and tailored to individual patient needs, ultimately advancing the field of reproductive medicine and offering hope to millions of couples struggling with infertility.
 
Keywords: 
Assisted Reproductive Technology; Fertility; Infertility; Artificial Intelligence; Counselling
 
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0