AI-Enhanced Nurse-Led Digital Platforms for Optimizing Infertility Treatment: A Global Systematic Review and Meta-Analysis

Background: Infertility affects over ۱۰% of couples worldwide, creating significant clinical, psychological, and economic challenges. While assisted reproductive technologies (ART) have advanced, suboptimal patient adherence and a need for personalized support remain critical barriers to success. AI-enhanced nurse-led digital platforms, which integrate artificial intelligence for tailored guidance, monitoring, and feedback, offer a novel solution, but their overall effectiveness is not systematically established. Methods: A comprehensive search was performed in PubMed, Scopus, Web of Science, and Cochrane Library from inception up to July ۲۰۲۵. Eligible studies were randomized controlled trials (RCTs) and quasi-experimental designs evaluating nurse-delivered, AI-supported digital interventions for infertility management against standard care. Two independent reviewers conducted study selection, data extraction, and risk-of-bias assessment using the Cochrane Risk of Bias Tool ۲ (RoB ۲). Meta-analyses utilized random-effects models (DerSimonian-Laird) to pool effect sizes for primary outcomes: clinical pregnancy rate and treatment adherence. Secondary outcomes included anxiety and satisfaction with care. Heterogeneity was quantified using the I^۲ statistic. Results: Fourteen studies involving ۱,۹۸۰ participants were included in the quantitative synthesis. The AI-enhanced nurse-led platforms significantly improved the clinical pregnancy rate (Relative Risk, RR = ۱.۲۹; ۹۵% Confidence Interval, CI: ۱.۰۸-۱.۵۵; p = ۰.۰۰۴). Treatment adherence was also significantly enhanced (Standardized Mean Difference, SMD = ۰.۳۸; ۹۵% CI: ۰.۱۶-۰.۶۰; p < ۰.۰۰۱). Participants in the intervention groups reported reduced anxiety (SMD = -۰.۴۵; ۹۵% CI: -۰.۶۲ to -۰.۲۸; p < ۰.۰۰۱) and improved satisfaction with care (SMD= ۰.۵۱; ۹۵% CI: ۰.۳۵-۰.۶۷; p < ۰.۰۰۱). Subgroup analyses suggested that platforms integrating real-time AI feedback and interactive counseling modules demonstrated superior efficacy. Heterogeneity was moderate to high across outcomes (I^۲ ranging from ۴۵% to ۶۸%). Conclusion: AI-integrated nursing interventions represent a powerful, evidence-based innovation in infertility care. The findings demonstrate measurable, statistically significant improvements in reproductive outcomes, patient engagement, and psychosocial health. These results strongly advocate for the global adoption and integration of AI-enhanced nurse-led digital platforms within routine ART protocols.

کلیدواژه ها:

AI in nursing ، digital health ، infertility ، nurse-led interventions ، systematic review