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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

