چکیده مقاله
Background: Infertility affects over 10% 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 2025 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 2 RoB 2 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 2 statistic Results: Fourteen studies involving 1,980 participants were included in the quantitative synthesis The AI enhanced nurse led platforms significantly improved the clinical pregnancy rate Relative Risk, RR = 1 29; 95% Confidence Interval, CI: 1 08 1 55; p = 0 004 Treatment adherence was also significantly enhanced Standardized Mean Difference, SMD = 0 38; 95% CI: 0 16 0 60; p < 0 001 Participants in the intervention groups reported reduced anxiety SMD = 0 45; 95% CI: 0 62 to 0 28; p < 0 001 and improved satisfaction with care SMD= 0 51; 95% CI: 0 35 0 67; p < 0 001 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 2 ranging from 45% to 68% 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
کلیدواژهها
نویسندگان
Sana Mahdian Rizi
Students Research Committee, Neyshabur University of Medical Sciences, Neyshabur, Iran
شیوه ارجاع
Mahdian Rizi, Sana,1404,AI-Enhanced Nurse-Led Digital Platforms for Optimizing Infertility Treatment: A Global Systematic Review and Meta-Analysis,17th International Conference on New Findings in Midwifery, Women, Maternity and Infertility
ارائهشده در
مجموعه مقالات هفدهمین کنفرانس بین المللی یافته های نو در مامایی،زنان ،زایمان و نازایی7 آذر 1404