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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

