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Global Translational Medicine                                                  Clinical algorithms in ART



            proposed by Esteves et al. is a great algorithm that gives   Sterilità e MedicinadellaRiproduzione) focused on the
            both embryologists and clinicians more information for   Key  Performance  Indicators  (KPI)  useful  for internal
            clinical choice orientation  (Table 2). The nomograms to   and external control of each procedural step of the ART
                                 [27]
            predict blastocysts rate following cycles of IVF in patients   programs may improve the quality of the entire procedure
            with tubal factor infertility, polycystic ovary syndrome,   by generating algorithms establishing the gold standards
            or endometriosis is another useful algorithm helping   procedures as well as their laboratory and clinicians’
                                                                       [12]
            the decision-making of the clinician, embryologist, and   coherence . Many other predictive tools are published
            couples together to follow-up on the procedure  (Table 2).  day by day in the literature, such as the natural conception
                                                 [9]
                                                                                 [45]
              The endometrial receptivity estimation based on the   prediction application  or an AI model developed to
            only parameter of ultrasound and vascularization of   predict gestational age more accurately than standard
            the endometrium in its own layers is not actually being   fetal  biometry-based  estimates  which  was achieved  by
            the  factor contributing  to the  endometrial  receptivity   utilizing both standard plane ultrasonography images and
                                                                                       [46]
            more  complex  and determined  by several independent   fly-to ultrasonography videos . Moreover, the progress
            parameters rather than this one. However, the establishment   in performing studies and AI models are ongoing with an
                                                               enthusiastic perspective for patient management.
            of each parameter with its own specific score in a database
            supporting an algorithm inclusive of all those factors is,   5. Conclusion
            from the methodological point of view, the right direction
            for future studies .                               After an impressive increase from 1960 to 2010, the
                         [34]
                                                               world population is decreasing. The total fertility rate is
              An algorithm was developed to predict implantation   in inverse relationship to the literate couples population
            efficiency by taking into account the impact of both female   being lower in the high alphabetization communities. The
            age and anticipated blastocyst euploidy rates on cumulative   use of infertility treatments by IVF is now a worldwide
            implantation rates, as published in a hands-on tool, is very   phenomenon, with 2%–8% of newborns using this
            attractive. Moreover, despite its estimation of implantation   technique. The recent use of mathematical models and/
            for euploid and aneuploid embryos after transfer according   or real-time monitoring algorithms designed to improve
            to the age of the women and the number of embryos   the diagnostic power of specific tests as well as the best
            transferred did not consider the value of the extra embryo   management of the treatments is describing a new clinical
                                                        [33]
            factors, this tool remains of great value for clinicians    era where the improvement of efficiency and the reduction
            (Table 2).                                         of complications will be the most evident phenomenon.
              The prediction of personalized cumulative live birth
            following IVF as published by MacLernon  et al.  and   Acknowledgments
                                                    [37]
            adopted  by the  Sars registry  and American  Society  for   None.
            Reproductive Medicine (ASRM) [38]  (Table 2) is very helpful
            for all involved in the ART programs, from the couples   Funding
            to the medical doctors. The attempt of other algorithms   None.
            proposed for the same finality, which include both the
            couple’s profiling and the medical center’s performances,   Conflict of interest
            is a great improvement in medical practice for the
            transparency by which the performances are released and   The authors declare no conflicts of interest.
            for the “True” informed consent to undergo IVF program   Author contributions
            in  one center  instead  of the other .  Public services
                                          [36]
            rather than private companies should provide for that.   Conceptualization: Francesco Maria Bulletti
            Unfortunately, we assist in medical center’s promotion by   Data curation: Francesco Maria Bulletti, Marco Berrettini,
            media with declared results that are not obtainable. This   Romualdo Sciorio, Carlo Bulletti
            phenomenon leads to making money on the emotional   Formal analysis: Marco Berrettini
            fragility of these couples. These AI application models can   Writing – original draft:  Francesco  Maria  Bulletti, Carlo
            reduce a doubly reprehensible practice on a deontological   Bulletti
            and human level. Couples seeking information should   Writing – review & drafting: Francesco Maria Bulletti,
            make it a habit to avoid centers that do not release their   Carlo Bulletti
            results as disaggregated and verifiable data to national   Ethics approval and consent to participate
            registries in a transparent manner. The study of the Italian
            Group of the SIFES e MR (SocietàItaliana di Fertilità,   Not applicable.


            Volume 2 Issue 2 (2023)                         9                        https://doi.org/10.36922/gtm.0308
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