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

Abo Ali, Ashraf; Kadry, Hesham Ahmed; Mekhimer, Karim; Adel, Nehal; Maghraby*, Hassan

doi:10.21608/jrme.2025.360234.1027

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

Document Type : Original Article

Authors

¹ Madina Fertility Center Madina Women Hospital, Alexandria, Egypt.

² Egyptian Foundation of Reproductive Medicine and Embryology, Alexandria, Egypt.

³ Obstetrics and Gynecology Department, Alexandria University, Egypt.

10.21608/jrme.2025.360234.1027

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.

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