Enhancing assisted reproductive technology with AI: Addressing concerns and challenges

Astha Puri; Rohan Mathur; Nehal Sindhu

doi:10.30574/ijsra.2024.12.1.0859

ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Enhancing assisted reproductive technology with AI: Addressing concerns and challenges

Astha Puri ^{1, *}, Rohan Mathur ²and 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 Article

International Journal of Science and Research Archive, 2024, 12(01), 745–747.

Article DOI: 10.30574/ijsra.2024.12.1.0859

DOI url: https://doi.org/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

Download Article PDF

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-0859.pdf

Preview Article PDF

How to cite this article

Astha Puri, Rohan Mathur and Nehal Sindhu. Enhancing assisted reproductive technology with AI: Addressing concerns and challenges. International Journal of Science and Research Archive, 2024, 12(01), 745–747. Article DOI: https://doi.org/10.30574/ijsra.2024.12.1.0859

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.

All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.