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Artificial Intelligence in Health                                           AI in embryo selection for ART






































            Figure 1. Flow diagram of artificial intelligence-based assisted reproductive technology
            Abbreviations: ET: Embryo transfer; GIFT: Gamete intrafallopian transfer; IVF: In vitro fertilization; ML: Machine learning; ZIFT: Zygote intrafallopian
            transfer.

            (iii) To investigate the ethical implications associated with   (ii)   Studies that use rigorous research procedures and
               the integration of AI in embryo selection processes.  provide transparent data analysis and reporting
                                                               (iii)   Research that tackles ethical considerations such
            2.3. Literature selection                               as informed consent, data privacy, and societal

            This study strictly adhered to the Preferred Reporting Items   implications associated with AI-based embryo
            for Systematic Reviews and Meta-Analyses guidelines,    selection
            including the extension for scoping reviews. Four   (iv)   Studies that focus on AI applications specifically
            electronic databases (Scopus, PubMed, IEEE Xplore, and   relevant to IVF techniques
            Google Scholar) were systematically searched to identify   (v)   Publications including book chapters, conference
            relevant publications. The literature search was performed   proceedings, systematic reviews, meta-analyses,
            by three researchers (the authors) between December     and peer-reviewed research articles are all covered
            2023  and  April  2024.  Duplicate  entries  were  identified   (vi)   Research articles that primarily focused on human
            and removed using Python programming. The search        subjects
            results were initially compiled in an Excel file, ensuring the   (vii)  Articles published in the English language
            accuracy and uniqueness of the dataset for further analysis.   (viii)  Studies published between June 1, 2015, and
            Each researcher reviewed the titles and abstracts based on   January 9, 2024.
            predefined inclusion and exclusion criteria to determine
            eligibility. In case of uncertainty or disagreement, a well-  2.5. Exclusion criteria
            known academic expert was consulted to aid in the final   Studies were excluded from this review if they met any of
            selection of publications.                         the following criteria:
                                                               (i)   Studies not primarily focused on the use of AI for
            2.4. Inclusion criteria                                 embryo selection or its role in ART
            Studies were included in this review if they met the   (ii)   Studies lacking sufficient detail or clarity on the
            following criteria:                                     methods used for embryo selection
            (i)   Studies that explore or utilize deep learning, ML, or   (iii)   Research addressing ethical concerns that are unrelated
                 AI to select embryos for ART                       to the application of AI in embryonic selection


            Volume 2 Issue 3 (2025)                         3                         https://doi.org/10.36922/aih.7170
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