REVIEW OF THE ROLE OF ARTIFICIAL INTELLIGENCE IN ASSISTED REPRODUCTION TECHNIQUES

Authors

DOI:

https://doi.org/10.70187/recisatec.v5i3.384

Keywords:

, Assisted reproduction techniques, Ovarian stimulation, Oocytes, Semen

Abstract

Artificial intelligence (AI)-based methods are ideal for manipulating, processing, and analyzing large volumes of data generated throughout the stages of Assisted Reproductive Techniques (ART). These data can be of various types, including numbers, texts, and images. This can occur during the assessment of the patient's reproductive potential with the aim of individualizing protocols and optimizing the chances of pregnancy. They have emerged as objective, quantifiable, and non-invasive tools for rapid and accurate analysis, increasing the chances of success in treatments. The objective of this review is to comprehensively examine the literature and explore in chronological order the latest advances in AI, specifically in the ART stages, including controlled ovarian stimulation and oocyte and semen analysis. We summarized 19 articles published between 2021 and 2025, extracted from two electronic databases, using the following terms: “in vitro fertilization”, “ovarian stimulation”, “trigger”, “oocytes”, “sperm”, “Artificial Intelligence”, “Deep Learning”, and “Machine Learning”. The review, in addition to helping researchers gain a more comprehensive understanding of the status and future trends of AI work in TRA, will enable interdisciplinary researchers to propose combined techniques to conduct individualized approaches that reduce socioeconomic and possibly environmental impacts.

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Author Biographies

Oberdan Costa

Universidade Fernando Pessoa, Porto-Portugal.

Mariana Santos Costa

Biomédica especialista em Reprodução Humana Assistida pelo Instituto Sapientiae -SP, Mestra em Biologia Celular e Molecular pela Universidade Estadual Paulista Júlio de Mesquita Filho UNESP (Campus Rio Claro). Bolsista do programa de iniciação científica da Universidade Ceuma em Microbiologia Ambiental e Ecotoxicologia. Mestrado na área de biologia celular e molecular. Embriologista na área de andrologia e administrativo do laboratório. Doutoranda no Laboratório de Inovação em Reprodução Assistida da Universidade Federal do Rio de Janeiro. 

Marcel Frajblat

Professor and scientist at the Federal University of Rio de Janeiro in the fields of animal and human reproductive biotechnology. He coordinates the Laboratory of Innovation in Assisted Reproduction (LIRA), responsible for performing techniques such as in vitro fertilization, cryopreservation of gametes and embryos, production of genetically modified animal models, and quality control of materials used in human assisted reproduction. LIRA aims to be a laboratory for the development of innovative products for human and animal assisted reproduction. He is also responsible for the Coordination of Activities with Biological Models at UFRJ (CAMBE). General Secretary of the International Council of Laboratory Animal Science (ICLAS), responsible for connecting laboratory animal science globally. Second Secretary of the Federation of Experimental Biology Societies (FeSBE), responsible for bringing together scientists involved in biomedical research in Brazil. Editor-in-Chief of the scientific journal Biological Models Research and Technology (BMRT)

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2025-05-26

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Costa, O., Santos Costa, M., & Frajblat, M. (2025). REVIEW OF THE ROLE OF ARTIFICIAL INTELLIGENCE IN ASSISTED REPRODUCTION TECHNIQUES. RECISATEC SCIENTIFIC JOURNAL - ISSN 2763-8405, 5(3), e53384. https://doi.org/10.70187/recisatec.v5i3.384

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Vol. 5 No. 3 (2025): CLIQUE AQUI PARA ACESSAR OS ARTIGOS

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