Volume 8, Issue 3 (2023)
SJMR 2023, 8(3): 213-223 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Saremi A, Abbasi B, Karimi-MansoorAbad E, Ashourian Y. Impact of Artificial Intelligence on In Vitro Fertilization: Revolutionizing Reproductive Medicine. SJMR 2023; 8 (3) : 8
URL: http://saremjrm.com/article-1-312-en.html
URL: http://saremjrm.com/article-1-312-en.html
1- Sarem Gynecology, Obstetrics and Infertility Research Center, Sarem Women's Hospital, Iran University of Medical Sciences (IUMS), Tehran, Iran. & Sarem Cell Research Center (SCRC), Sarem Women’s Hospital, Tehran, Iran.
2- Department of Medical Genetics, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
2- Department of Medical Genetics, National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran.
Abstract: (2062 Views)
This paper provides an in-depth analysis of the significant impact Artificial Intelligence (AI) has on In Vitro Fertilization (IVF). It traces the evolution of IVF from its inception to the integration of AI, highlighting how AI enhances embryo selection accuracy and personalizes treatment protocols to improve success rates and efficiency. The paper examines AI's roles in predictive analytics, computer-aided embryo selection, genetic screening, and laboratory optimization, demonstrating how these advancements lead to better decision-making and treatment outcomes. Real-world case studies and clinical outcomes are presented to evidence the effectiveness of AI in increasing pregnancy rates and improving the IVF process. Looking forward, the paper anticipates future advancements in AI, including its integration with genomic data, improvements in patient-physician interactions, and contributions to global reproductive health. Overall, the paper showcases AI's transformative potential in IVF, making treatments more personalized, outcomes more predictable, and enhancing the patient experience.
Article number: 8
Keywords: Artificial Intelligence (AI), In Vitro Fertilization (IVF), Embryo Selection, Predictive Analytics, Genetic Screening, Deep Learning, Treatment Personalization
Article Type: Systematical Review |
Subject:
Sterility
Received: 2023/11/21 | Accepted: 2023/12/21 | Published: 2024/08/4
Received: 2023/11/21 | Accepted: 2023/12/21 | Published: 2024/08/4
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
