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Effectiveness of AI-Supervised Mobile Exercise Application in Patients With Knee Osteoarthritis
Sponsor: Uludag University
Summary
This study aims to evaluate the effectiveness of an artificial intelligence (AI)-supported mobile application that supervises home-based exercise programs in patients with knee osteoarthritis. A total of 80 participants aged 40 to 80 will be randomly assigned to one of two groups: a mobile application exercise group or a home exercise booklet group. Both groups will receive the same standardized stretching, strengthening, and range of motion exercises designed for knee osteoarthritis. The mobile app provides real-time feedback and supervision using the device's camera and artificial intelligence algorithms to track and guide exercise performance. Participants in the app group will perform exercises with supervision via the app interface, while the control group will follow the same exercises using printed instructions. Both groups will exercise 3 to 4 times per week for 4 weeks. The study will compare pain levels, physical function, and balance before and after the intervention using validated outcome measures such as the WOMAC Index and the Visual Analog Scale. This study may help determine whether AI-supported digital tools can improve exercise adherence and outcomes in patients with knee osteoarthritis.
Official title: Effectiveness of Exercises Supervised Via an Artificial Intelligence-Supported Mobile Application in Patients With Knee Osteoarthritis
Key Details
Gender
All
Age Range
40 Years - 80 Years
Study Type
INTERVENTIONAL
Enrollment
60
Start Date
2025-08
Completion Date
2025-10
Last Updated
2025-07-17
Healthy Volunteers
No
Conditions
Interventions
AI-Supervised Mobile Exercise Program
This intervention involves the use of an artificial intelligence (AI)-supported mobile application that delivers a personalized exercise program to patients with knee osteoarthritis. The app supervises exercise execution in real time using the device's camera and AI algorithms to track movements, count repetitions, and assess form accuracy. The program includes stretching, strengthening, and range of motion exercises performed 3-4 times per week for 4 weeks. The app provides instructional videos, personalized feedback, reminders, and records user performance. No video or personal images are stored; only anonymized motion data are collected and securely stored.
Booklet-Guided Home Exercise Program
This intervention provides patients with a standardized home exercise program in printed booklet format. The program includes the same evidence-based stretching, strengthening, and range of motion exercises used in the mobile application group, performed 3-4 times per week for 4 weeks. Participants receive one-time in-person instruction on proper form but no ongoing supervision or feedback during the program. Adherence and technique are self-monitored.
Locations (1)
Bursa Uludag University
Bursa, Nilüfer, Turkey (Türkiye)