Journal of IVF-Worldwide, Journal Year: 2025, Volume and Issue: 3(2)
Published: May 16, 2025
Question Asked How is artificial intelligence (AI) transforming assisted reproductive technologies (ART), particularly in vitro fertilization (IVF), and what are its clinical impacts limitations? Background AI offers potential to address ART challenges, including high costs, variable success rates, rising infertility. Applications embryo selection, gamete assessment, personalized protocols aim enhance objectivity outcomes. Literature Search A systematic review of peer-reviewed articles (2019–2025) was conducted, using terms such as “artificial intelligence” “IVF.” Studies focused on tools (DeepEmbryo, icONE, iDAScore, ERICA) their performance ART. Materials Methods Selected studies evaluated applications protocols, outcome prediction. Performance metrics, validation scope, outcomes were analyzed, prioritizing with quantitative data. Results Discussion improved pregnancy rates (up 77.3%), implantation accuracy (92%), efficiency (35%). icONE ERICA outperformed traditional methods, reducing subjectivity. However, often limited single-center studies, surrogate endpoints (e.g., rates) rather than live birth rates. Algorithmic bias, regional data privacy regulations, costs limit generalizability accessibility. Ethical concerns, equity, require robust frameworks. Conclusions enhances efficacy personalization but faces ethical challenges. Multicenter focusing inclusive datasets needed ensure equitable, clinically relevant adoption.
Language: Английский