TR
EN
Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications
Öz
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.
Anahtar Kelimeler
Kaynakça
- Gardner DK, Sakkas D. Assessment of embryo viability: the ability to select a single embryo for transfer—a review. Placenta. 2003;24 Suppl B:S5–12.
- Dimitriadis I, Zaninovic N, Chavez Badiola A, Bormann CL. Artificial intelligence in the embryology laboratory: A review. Reprod Biomed Online. 2022;44(3):435–48. doi:10.1016/j.rbmo.2021.11.003
- Jiang VS, Bormann CL. Artificial intelligence in the in vitro fertilization laboratory: A review of advancements over the last decade. Fertil Steril. 2023;120(1):17–23. doi:10.1016/j.fertnstert.2023.05.149
- Chu KY, Nassau DE, Arora H, Lokeshwar SD, Madhusoodanan V, Ramasamy R. Artificial intelligence in reproductive urology. Curr Urol Rep. 2019;20(9):52. doi:10.1007/s11934-019-0914-4
- Alpkoçak A. Explainable artificial intelligence in healthcare. TOTBID J. 2024;23:18–23. doi:10.5578/totbid.dergisi.2024.04
- İlkılıç İ. Sağlıkta yapay zekâ: Tıpta yapay zekâ kullanımının etik açıdan değerlendirilmesi. Dosya: Sağlıkta Yapay Zekâ. 2021 İlkbahar.
- Chow DJX, Wijesinghe P, Dholakia K, Dunning KR. Does artificial intelligence have a role in the IVF clinic? Reprod Fertil. 2021;2(3):C29–34. doi:10.1530/RAF-21-0043
- Iannone A, Carfì A, Mastrogiovanni F, Zaccaria R, Manna C. On the role of artificial intelligence in analysing oocytes during in vitro fertilisation procedures. Artif Intell Med. 2024 Nov;157:102997. doi:10.1016/j.artmed.2024.102997. PMID:39383707
Ayrıntılar
Birincil Dil
İngilizce
Konular
Rejeneratif Tıp (kök hücreler dahil), Histoloji ve Embriyoloji
Bölüm
Derleme
Yayımlanma Tarihi
10 Haziran 2026
Gönderilme Tarihi
22 Eylül 2025
Kabul Tarihi
6 Şubat 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 65 Sayı: 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. ETD. 2026;65(2):349-356. doi:10.19161/etd.1789189
Chicago
Konukcu Mehdılı, Zeynep, Çağatay Üstün, ve 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 (01 Haziran 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, ve S. Özçiftçi, “Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications”, ETD, c. 65, sy 2, ss. 349–356, Haz. 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 (01 Haziran 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. ETD. 2026;65:349–356.
MLA
Konukcu Mehdılı, Zeynep, vd. “Clinical ethical evaluatıon of the use of artificial intelligence in reproductive technology applications”. Ege Tıp Dergisi, c. 65, sy 2, Haziran 2026, ss. 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. ETD. 01 Haziran 2026;65(2):349-56. doi:10.19161/etd.1789189