Methods: The Pedi@ctivity platform was comprehensively developed as part of an extensive R&D project undertaken by our team and was recognized as a multidisciplinary initiative. The Pedi@ctivity comprises a mobile application and a web-based interface, developed to monitor and improve physical fitness in adolescents. The mobile application includes two main modules: the User Module, which collects data from smartwatches and delivers AI-driven personalized exercise plans, and the Supervisor Module, which tracks participants’ progress and manages fitness metrics. It enables real-time health monitoring, smartwatch synchronization, and continuous feedback. The web platform serves as a comprehensive decision-support tool for physiotherapists. The study included 362 adolescents aged 12-18 years, with 304 healthy participants and 58 diagnosed with chronic rheumatic diseases, including JIA and FMF. Over a six-month period, physical activity metrics such as steps, distance, and heart rate were tracked with Pedi@ctivity supervisor app and smartwatches, including a three-month personalized exercise program with Pedi@ctivity user app. Clinical assessments were conducted to evaluate physical fitness, balance, muscle strength, and gait with using novel assessment device and tools. AI-driven personalized exercise programs guided by artificial intelligence algorithms was applied for three times weekly for 12 weeks using Pedi@ctivity user app. Pre- and post-program evaluations were compared using statistical methods.The summary of Pedi@ctivity Project was illustrated in Figure 1.

Results: Significant improvements in clinical parameters were observed, including upper extremity flexibility, muscle strength,and aerobic capacity as physical fitness, balance and gait (P<0.001). Adolescents with chronic rheumatic diseases achieved comparable adherence and fitness gains to their healthy peers, despite starting with lower baseline levels (P<0.001). The integration of artificial intelligence enabled the creation of highly personalized exercise programs, leading to an average step count increase of 769.37 steps in healthy participants and 1079.36 steps in those with chronic conditions. The 6-Minute Walk Test demonstrated clinically meaningful improvements, with JIA patients exceeding the minimal clinically important difference of 65.1 meters.

Conclusion: Pedi@ctivity demonstrated its effectiveness in improving physical fitness and promoting active lifestyles among adolescents, regardless of health status. Its usability and satisfaction scores underscored its potential as a scalable and adaptable tool for healthy adolescents and those with pediatric rheumatic diseases health promotion. Pedi@ctivity stands as an innovative decision-support system, enabling clinicians to digitally monitor, evaluate, and design targeted treatment plans for adolescents through evidence-based, technology-driven approaches.

Figure 1.

The summary of Pedi@ctivity Project

REFERENCES: NIL.

Acknowledgements: This study was supported by Scientific and Technological Research Council of Turkey (TUBITAK) under the Grant Number 121E690. The authors thank to TUBITAK for their supports.

Disclosure of Interests: None declared.

© The Authors 2025. This abstract is an open access article published in Annals of Rheumatic Diseases under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ ). Neither EULAR nor the publisher make any representation as to the accuracy of the content. The authors are solely responsible for the content in their abstract including accuracy of the facts, statements, results, conclusion, citing resources etc.