Adaptive AI-Driven Mobile Health Platforms for Precision Management of Chronic Conditions in Remote Settings: A Systematic Review and Meta-Analysis

Background and Objective: The rising prevalence of chronic diseases and limited access to healthcare in remote areas highlight the need for adaptive AI-driven mobile health platforms. These platforms enable personalized interventions, continuous monitoring, and improved patient outcomes. This systematic review and meta-analysis aims to evaluate the applications, effectiveness and challenges of adaptive AI-driven mobile health platforms in the remote management of chronic conditions. Methods: Following PRISMA guidelines, a systematic review and meta-analysis was conducted by searching in PubMed, Scopus, Web of Science, and IEEE Xplore for articles published between ۲۰۱۴ and ۲۰۲۵. After screening and applying inclusion criteria, ۳۶ high-quality studies were included. Results: Among the selected studies, ۷۰% focused on diabetes management, ۵۵% on cardiovascular disease, and ۴۰% on respiratory conditions. Common interventions included AI-powered personalized reminders (۲۴ studies), predictive analytics for symptom monitoring (۲۰), and adaptive coaching modules (۱۵). These platforms improved adherence to medication, lifestyle modifications, and early detection of complications. Adaptive algorithms, particularly reinforcement learning models, showed accuracy rates between ۸۲% and ۹۰% in predicting patient risk and recommending personalized interventions. Integration of real-time data from wearable devices enhanced continuous monitoring and patient engagement. Conclusion: Adaptive AI-driven mobile health platforms offer promising solutions for precision management of chronic diseases in remote settings. Future studies should focus on standardizing evaluation frameworks, addressing data privacy concerns, and optimizing AI algorithms for broader applicability. Keywords: AI, mobile health, chronic disease management, remote healthcare, precision medicine

کلیدواژه ها:

AI ، mobile health ، chronic disease management ، remote healthcare ، precision medicine