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Global Translational Medicine





                                        REVIEW ARTICLE
                                        Artificial intelligence algorithms for optimizing

                                        assisted reproductive technology programs:
                                        A systematic review



                                                                                                3†
                                                                              2
                                                             1†
                                        Francesco Maria Bulletti , Marco Berrettini *, Romualdo Sciorio , and
                                        Carlo Bulletti 4†
                                        1 Department Obstetrics and Gynecology, University Hospital of Vaud, 1011 Lausanne, Switzerland
                                        2 Department of Statistical Sciences, University of Bologna, 41100 Bologna, Italy
                                        3 Edinburgh Assisted Conception Programme, Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK
                                        4 Extra Omnes, Assisted Reproductive Technology, ART Center, Via Gallinelli, 8, 47841 Cattolica, Italy



                                        Abstract

                                        Artificial intelligence (AI) has been experiencing rapid growth in recent years,
                                        and numerous applications are improving the single-step efficiency of the whole
                                        assisted reproductive technology (ART) procedure. In this review, we collected all
                                        the algorithms supplying ART and selected those supporting the clinical assistance
                                        to the procedure up to the successful attempt. Those with a clear role in improving
                                        ART performances were further selected. We found a questionnaire-based algorithm
                                        identifying patients at risk for endometriosis with early management and better
                                        fertility outcome. An algorithm can detect the values of simple gamete production
            † These authors contributed equally
            to the work.                (male) and reservoir (female) according to gradual scale allocation, and display
                                        themas normal or abnormal, spontaneousor stimulated gamete production. This
            *Corresponding author:
            Marco Berrettini            can provide significant benefits for infertile couples undergoing diagnostic and
            (marco.berrettini2@unibo.it)  therapeutic journeys. The calculators for the starting dose of gonadotropins and
            Citation: Bulletti FM, Berrettini  M,   the trigger timing during controlled ovarian stimulation make clinical management
            Sciorio R, et al., 2023, Artificial   more efficient. With the application of AI in ART, the ability to determine the optimal
            intelligence algorithms for   number of metaphase II oocytes required for blastocyst formation and number
            optimizing assisted reproductive
            technology programs: A systematic   of oocytes needed for embryo production has been significantly improved.  The
            review. Global Transl Med, 2(2):   calculation of the implantation rate as proposed in different calculators, using the
            0308.                       ultrasound of endometrial vascularization or the age and euploidy of the embryo
            https://doi.org/10.36922/gtm.0308   transferred, may provide further advancement in managing the ART procedure
            Received: March 3, 2023     with more participation from the couples to increase the efficacy of the procedures.
            Accepted: April 26, 2023    Finally, the calculator of presumptive success with an ART program based on couples
            Published Online: May 29, 2023
                                        or medical center profiling and efficiency is of tremendous comfort to couples. In
            Copyright: © 2022 Author(s).   conclusion, algorithms and machine learning development in human reproduction
            This is an Open Access article
            distributed under the terms of the   are growing daily with evident benefits. Infertility treatments by in vitro fertilization
            Creative Commons Attribution   (IVF) are assisted by several algorithms that improve the efficiency of each procedure
            License, permitting distribution,   step, making IVF program’s management more effortless.
            and reproduction in any medium,
            provided the original work is
            properly cited.
                                        Keywords: Assisted reproductive technology; Fertilization; Blastocysts development;
            Publisher’s Note: AccScience   Embryo implantation
            Publishing remains neutral with
            regard to jurisdictional claims in
            published maps and institutional
            affiliations.


            Volume 2 Issue 2 (2023)                         1                        https://doi.org/10.36922/gtm.0308
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