Artificial intelligence-powered oocyte evaluation: Correlating cytoplasmic features with blastocyst development

These findings underscore the value of cytoplasmic features as objective indicators of developmental competence. This artificial intelligence-driven approach may improve embryo selection by providing a standardized, non-invasive method for evaluating oocytes, ultimately contributing to enhanced clinical outcomes in assisted reproductive technologies.