A mini-review on the applications of AI in human infertility and ARTs
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 284
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شناسه ملی سند علمی:
IRCMMS11_036
تاریخ نمایه سازی: 8 خرداد 1404
چکیده مقاله:
Artificial Intelligence (AI) has emerged as a promising tool in the field of reproductive medicine, specifically in addressing human infertility through advances in assisted reproductive technologies (ARTs) such as in vitro fertilization (IVF). Thus, this mini-review was focused on the applications of AI in the human infertility and ARTs. A literature search was implemented on PubMed and Embase to identify relevant studies published between January ۱, ۲۰۱۰, and March ۱, ۲۰۲۵. The inclusion criteria focused on prospective and retrospective articles in English that used AI for infertility and ARTs. The selected papers were grouped based on their applications in sperm and egg selection, embryo selection, embryo grading, and predicting ovarian stimulation outcomes. From our observations, the integration of AI-powered technologies into ARTs practices can facilitate pregnancy outcomes, enhance decision-making process, and personalize treatment approaches for patients suffering infertility complications. Overall, there is great potential in the application of artificial intelligence for the purposes of infertility diagnosis and treatment, which requires further development.
کلیدواژه ها:
نویسندگان
Ala Amiri
Department of Biotechnology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran
Fakhrisadat Hosseini
Department of Biotechnology, Faculty of Biological Sciences, Alzahra University, Tehran, Iran
Hamed Mohammadi
Non-Communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran and Department of Immunology, School of Medicine, Alborz University of Medical Sciences, Karaj, Iran