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418298

AI and IVF at the intersection of emerging trends; a strategic SWOT analysis harnessing opportunities and mitigating threats

Article

Last updated: 09 Apr 2025

OverviewSimilar Items

Subjects

-

Tags

Infertility

Abstract

The integration of artificial intelligence (AI) into in vitro fertilization (IVF) laboratories marks a major step forward in reproductive medicine. AI technologies, such as machine learning and deep learning, can improve quality control (QC) and quality assurance (QA) by enhancing accuracy, consistency, and operational efficiency.
These AI tools are particularly useful in automating tasks like embryo and sperm
selection, reducing human error, and minimizing variability, which ultimately contributes to higher success rates in IVF treatments. However, the introduction of AI into this delicate field also brings up ethical and regulatory concerns, including issues related to data privacy and transparency in decision-making algorithms. Despite these challenges, AI holds the potential to revolutionize IVF by optimizing clinical outcomes, though it must be carefully managed to maintain ethical standards and ensure patient trust. The current article provides a SWOT analysis on the impact of AI in IVF practice and its impact on cycle outcomes.

DOI

10.21608/jrme.2025.360234.1027

Keywords

Fertility artificial intelligence, computer-aided diagnostics, Developing countries, Diagnostic imaging, Machine Learning, SWOT Analysis

Authors

First Name

Ashraf

Last Name

Abo Ali

MiddleName

-

Affiliation

Madina Fertility Center Madina Women Hospital, Alexandria, Egypt., Egyptian Foundation of Reproductive Medicine and Embryology, Alexandria, Egypt.

Email

aboalimadinahospital@gmail.com

City

Alexandria

Orcid

-

First Name

Hesham

Last Name

kadry

MiddleName

ahmed

Affiliation

Obstetrics and Gynecology Department, Alexandria University, Egypt.

Email

heshamkadry365@gmail.com

City

Alexandria

Orcid

-

First Name

karim

Last Name

mekhimer

MiddleName

-

Affiliation

Obstetrics and Gynecology Department, Alexandria University, Egypt.

Email

karimmekhimer@gmail.com

City

-

Orcid

-

First Name

Nehal

Last Name

Adel

MiddleName

-

Affiliation

Madina Fertility Center Madina Women Hospital, Alexandria, Egypt., Egyptian Foundation of Reproductive Medicine and Embryology, Alexandria, Egypt.

Email

nehal_adel83@hotmail.com

City

Alexandria

Orcid

0000-0002-2853-8334

First Name

Hassan

Last Name

Maghraby*

MiddleName

-

Affiliation

Egyptian Foundation of Reproductive Medicine and Embryology, Alexandria, Egypt., Obstetrics and Gynecology Department, Alexandria University, Egypt.

Email

hassanmaghraby@gmail.com

City

-

Orcid

0000-0003-3661-1594

Volume

1

Article Issue

4

Related Issue

54794

Issue Date

2025-02-01

Receive Date

2025-02-12

Publish Date

2025-02-01

Page Start

255

Page End

261

Online ISSN

3009-7282

Article File

JRME_Volume 1_Issue 4_Pages 255-261.pdf

PDF . 293.5kB

Link

https://jrme.journals.ekb.eg/article_418298.html

Detail API

http://journals.ekb.eg?_action=service&article_code=418298

Order

8

Type

Original Article

Type Code

2,940

Publication Type

Journal

Publication Title

Journal of Reproductive Medicine and Embryology

Publication Link

https://jrme.journals.ekb.eg/

MainTitle

AI and IVF at the intersection of emerging trends; a strategic SWOT analysis harnessing opportunities and mitigating threats

Details

Type

Article

Created At

09 Apr 2025