TR
EN
Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications
Abstract
Aim: The objective of this article is to examine the use of artificial intelligence technologies in infertility treatments—particularly in the IVF process—highlight the contributions that AI integration can offer, and evaluate the ethical and legal dimensions of these processes.
Materials and Methods: This study reviewed the use of AI and machine learning in infertility treatments, especially in the IVF process, through an examination of the literature and current clinical practices. The diversity of data used to train algorithms in IVF applications, as well as their integration with advanced reproductive technologies such as PGT and MRT, was addressed. This study is a qualitative literature review, and research published between 2015 and 2025 in the PubMed, Web of Science, Scopus, and Google Scholar databases was examined. The keywords ‘artificial intelligence,’ ‘IVF,’ ‘PGT,’ ‘machine learning,’ ‘embryo selection,’ and ‘ethics’ were combined during the search process. Inclusion criteria were: full-text availability in English or Turkish, and experimental, clinical, or ethics-focused studies examining the relationship between AI and IVF. Exclusion criteria were: editorial articles, short commentary letters, and opinion pieces without empirical data.
Results: The use of AI and machine learning in the IVF process has the potential to increase objectivity in embryo selection and improve success rates. The diversity of data used in training algorithms can prevent uniform embryo selection, promoting fairer and more inclusive outcomes. However, due to the current lack of a standardised database, ethical concerns and legal liabilities arise.
Conclusions: Artificial intelligence applications hold promising potential in infertility treatments. However, the use of AI in IVF and related reproductive technologies, constrained by non-standardised databases, entails ethical and legal risks. Therefore, it is essential to incorporate the broadest and most diverse data sets possible when training algorithms to ensure both technical accuracy and ethical fairness. Additionally, the ethical dimensions of AI applications in PGT, MRT, and special reproductive scenarios must be carefully evaluated.
Keywords
References
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Details
Primary Language
English
Subjects
Regenerative Medicine (Incl. Stem Cells), Histology and Embryology
Journal Section
Review
Publication Date
June 10, 2026
Submission Date
September 22, 2025
Acceptance Date
February 6, 2026
Published in Issue
Year 2026 Volume: 65 Number: 2
APA
Konukcu Mehdılı, Z., Üstün, Ç., & Özçiftçi, S. (2026). Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications. Ege Tıp Dergisi, 65(2), 349-356. https://doi.org/10.19161/etd.1789189
AMA
1.Konukcu Mehdılı Z, Üstün Ç, Özçiftçi S. Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications. EJM. 2026;65(2):349-356. doi:10.19161/etd.1789189
Chicago
Konukcu Mehdılı, Zeynep, Çağatay Üstün, and Seçil Özçiftçi. 2026. “Clinical Ethical Evaluatıon of the Use of Artificial Intelligence in Reproductive Technology Applications”. Ege Tıp Dergisi 65 (2): 349-56. https://doi.org/10.19161/etd.1789189.
EndNote
Konukcu Mehdılı Z, Üstün Ç, Özçiftçi S (June 1, 2026) Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications. Ege Tıp Dergisi 65 2 349–356.
IEEE
[1]Z. Konukcu Mehdılı, Ç. Üstün, and S. Özçiftçi, “Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications”, EJM, vol. 65, no. 2, pp. 349–356, June 2026, doi: 10.19161/etd.1789189.
ISNAD
Konukcu Mehdılı, Zeynep - Üstün, Çağatay - Özçiftçi, Seçil. “Clinical Ethical Evaluatıon of the Use of Artificial Intelligence in Reproductive Technology Applications”. Ege Tıp Dergisi 65/2 (June 1, 2026): 349-356. https://doi.org/10.19161/etd.1789189.
JAMA
1.Konukcu Mehdılı Z, Üstün Ç, Özçiftçi S. Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications. EJM. 2026;65:349–356.
MLA
Konukcu Mehdılı, Zeynep, et al. “Clinical Ethical Evaluatıon of the Use of Artificial Intelligence in Reproductive Technology Applications”. Ege Tıp Dergisi, vol. 65, no. 2, June 2026, pp. 349-56, doi:10.19161/etd.1789189.
Vancouver
1.Zeynep Konukcu Mehdılı, Çağatay Üstün, Seçil Özçiftçi. Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications. EJM. 2026 Jun. 1;65(2):349-56. doi:10.19161/etd.1789189