وضعیت و چشم اندازهای آیندهRepro-AI

عنوان انگليسی

Repro-AI: status and future prospects

خلاصه انگلیسی

Background and aims: Infertility rate in the world varies from 10 to 22%. However, couples receive successful infertility treatment at low rates, leading to repeat treatment or treatment withdrawal. Since the birth of the first IVF baby in 1978, more than eight million babies have been born as a result of the assisted reproductive technique. Artificial intelligence is rapidly changing the practice of medicine in various fields. Artificial intelligence entered the research world of assisted reproductive technologies (ART) in the late 1990s with the creation of an algorithm aimed at predicting the outcome of IVF. In reproductive medicine, artificial intelligence can significantly reduce the highly manual and labor-intensive processes of ART. The aim of this paper is to provide a systematic review to establish the actual contribution of artificial intelligence for predicting ART outcomes. Method: The PubMed database was searched for citations indexed with “artificial intelligence” and at least one of the medical subject heading terms between January 1, 2000 and April 30, 2020: “artificial intelligence”. "Obstetrics and Gynecology"; "Assisted Reproductive Techniques, "or "Fertility". Results: The PubMed search retrieved 750 citations and 55 publications met the selection criteria. All ART subdomains were covered. Among these 55 articles, 15 were related to embryo selection, 25 were sperm evaluation, and 15 were related to egg selection and implantation technologies. We observed a generally increasing trend in AI-related publications in assisted reproductive techniques over the past two decades. Conclusion: The development of new artificial intelligence frameworks to predict the ideal outcome in reproductive medicine is a necessity. As a comprehensive result, this new system can reduce the instability between observers, reduce risks during egg stimulation, reduce close and personal clinical contacts, and from the financial aspect, increase clinical profitability and better determination of sperm tests and evaluation of egg quality and embryo selection.

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