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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

AI-powered fertility assessment tool

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Astha Puri 1, *, Rohan Mathur 2 and Kapil D Nayar 3

1 Carlson School of Management, University of Minnesota, USA.
2 UCLA Anderson School of Management, USA.
3 Mayo Clinic, USA.

Review Article
 
International Journal of Science and Research Archive, 2024, 12(01), 742–744.
Article DOI: 10.30574/ijsra.2024.12.1.0860
DOI url: https://doi.org/10.30574/ijsra.2024.12.1.0860

Received on 07 April 2024; revised on 12 May 2024; accepted on 15 May 2024

The integration of artificial intelligence (AI) into fertility assessment and treatment presents a promising solution to the pervasive issue of infertility, offering individuals and couples personalized insights and recommendations on their reproductive health journey. By harnessing machine learning algorithms, an AI-powered fertility assessment tool analyzes diverse datasets encompassing demographic and clinical variables to generate comprehensive fertility profiles. These profiles provide predictions of fertility potential, identification of risk factors for infertility, and tailored recommendations for lifestyle modifications or medical interventions. The tool's adaptability and capacity for continuous improvement through user feedback and updated research ensure the relevance and effectiveness of its recommendations, while stringent privacy measures safeguard sensitive information. Preliminary testing demonstrates high accuracy and user satisfaction, highlighting the tool's potential to transform reproductive healthcare by streamlining assessments, reducing diagnostic uncertainties, and facilitating early interventions. However, the responsible implementation of AI-powered tools requires careful consideration of ethical, regulatory, and societal implications to ensure equitable access and mitigate algorithmic biases. Overall, AI-powered fertility assessment tools signify a significant advancement in reproductive medicine, offering hope and empowerment to individuals and couples navigating the complexities of fertility challenges.

Artificial Intelligence; Fertility; Assessment; Intervention; Healthcare

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2024-0860.pdf

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Astha Puri, Rohan Mathur and Kapil D Nayar. AI-powered fertility assessment tool. International Journal of Science and Research Archive, 2024, 12(01), 742–744. Article DOI: https://doi.org/10.30574/ijsra.2024.12.1.0860

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.


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