Dataset for the Systematic Literature Review on Image-Based Artificial Intelligence for Embryo Quality and Viability Assessment in Assisted Reproduction

This record contains the dataset associated with the systematic literature review titled “Image-Based Artificial Intelligence for Embryo Quality and Viability Assessment in Assisted Reproduction”. The dataset includes the processed study records and the classification data used to answer the research questions. The files provided in this record are: (1) SLR_205_Processed_Articles.xlsx, containing the processed articles included in the review workflow; (2) SLR_RQ_Counts.xlsx, containing the counts and classifications associated with the research questions; and (3) README.txt, describing the repository contents and the search strategy applied in the consulted digital libraries. Searches were conducted in Scopus, IEEE Xplore, ScienceDirect, and ACM Digital Library using terms related to image analysis, artificial intelligence, and assisted reproductive technology. This dataset is shared to promote transparency, traceability, and reproducibility of the review process. All attached files can be viewed and downloaded directly from this Zenodo record: https://doi.org/10.5281/zenodo.19235464.