Artificial Intelligence and Digital Menstrual Cycle Trackers: A Systematic Review of Applications, Benefits, and Challenges in Enhancing Women’s Physical and Mental Health

AbstractBackground and Objective:Recent advances in Artificial Intelligence (AI) and the proliferation of digital menstrual cycle trackers have created unprecedented opportunities to improve women’s physical and mental health. These tools, by accurately predicting cycles, identifying irregularities, and providing personalized recommendations, can enhance awareness, reduce anxiety related to hormonal fluctuations, and improve overall well-being. This study systematically reviews the applications, benefits, and challenges of AI-powered menstrual cycle trackers in promoting women’s health.Methods:A systematic review was conducted following PRISMA guidelines. PubMed, Scopus, Web of Science, and IEEE Xplore databases were searched for articles published between ۲۰۱۴ and ۲۰۲۵. After screening and applying inclusion criteria, ۳۶ high-quality studies were included.Results:Of these studies, ۲۳ (۶۴%) focused on AI algorithms for cycle prediction and symptom analysis, ۱۸ (۵۰%) addressed psychological impacts, and ۱۴ (۳۹%) examined clinical outcomes such as early detection of reproductive disorders. Common tools included AI-based applications (۲۴ studies), integrated wearable trackers (۱۵ studies), and biosensor-equipped devices (۹ studies). These technologies improved reproductive health awareness, self-management, and anxiety reduction.Conclusion:Integrating AI with menstrual cycle tracking offers promising solutions for women’s health. Future research should focus on enhancing predictive accuracy, standardizing evaluations, ensuring privacy, and developing ethical frameworks.

کلیدواژه ها:

Artificial Intelligence ، menstrual cycle tracking ، women’s health ، mental health ، wearable technology