چکیده مقاله
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 2014 and 2025 After screening and applying inclusion criteria, 36 high quality studies were included Results: Among the selected studies, 70% focused on diabetes management, 55% on cardiovascular disease, and 40% on respiratory conditions Common interventions included AI powered personalized reminders 24 studies , predictive analytics for symptom monitoring 20 , and adaptive coaching modules 15 These platforms improved adherence to medication, lifestyle modifications, and early detection of complications Adaptive algorithms, particularly reinforcement learning models, showed accuracy rates between 82% and 90% 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
کلیدواژهها
نویسندگان
Elnaz Bornasi
Master's student in Health Information Technology, Student Research Committee, Lorestan University of Medical Sciences, Khorramabad, Iran Student Committee for Education Development, Lorestan University of Medical Sciences, Khorramabad, Iran
شیوه ارجاع
Bornasi, Elnaz,1404,Adaptive AI-Driven Mobile Health Platforms for Precision Management of Chronic Conditions in Remote Settings: A Systematic Review and Meta-Analysis,20th International Conference on Health, Treatment and Health Promotion
ارائهشده در
مجموعه مقالات بیستمین کنفرانس بین المللی بهداشت، درمان و ارتقای سلامت24 مرداد 1404