Effectiveness of AI-Supervised Mobile Exercise Application in Patients With Knee Osteoarthritis
NCT ID: NCT07066514
Last Updated: 2025-07-17
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
60 participants
INTERVENTIONAL
2025-08-31
2025-10-31
Brief Summary
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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.
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
TREATMENT
DOUBLE
Study Groups
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AI-Based Mobile Home Exercise Group
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.
Standard Home Exercise Group
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* Diagnosed with knee osteoarthritis according to ACR criteria
* Referred to physical therapy by a physician for knee osteoarthritis
* Able to use a smartphone or tablet
* Having regular access to the internet
* Voluntarily agrees to participate in the study
Exclusion Criteria
* Received physical therapy or rehabilitation for knee OA within the past 6 months
* Lack of access to a mobile device or internet
* Any neurological, cardiovascular, or musculoskeletal condition that prevents safe participation in exercise
* Cognitive impairment or psychiatric disorder interfering with exercise adherence
* Inability to follow instructions or use the mobile app interface
* Any condition that would contraindicate participation in a home-based exercise program
40 Years
80 Years
ALL
No
Sponsors
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Uludag University
OTHER
Responsible Party
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Selim Mahmut GÜNAY
Asst Prof
Locations
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Bursa Uludag University
Bursa, Nilüfer, Turkey (Türkiye)
Countries
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Central Contacts
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Facility Contacts
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References
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Nelligan RK, Hinman RS, Kasza J, Crofts SJC, Bennell KL. Effects of a Self-directed Web-Based Strengthening Exercise and Physical Activity Program Supported by Automated Text Messages for People With Knee Osteoarthritis: A Randomized Clinical Trial. JAMA Intern Med. 2021 Jun 1;181(6):776-785. doi: 10.1001/jamainternmed.2021.0991.
Xiang XN, Wang ZZ, Hu J, Zhang JY, Li K, Chen QX, Xu FS, Zhang YW, He HC, He CQ, Zhu SY. Telehealth-Supported Exercise or Physical Activity Programs for Knee Osteoarthritis: Systematic Review and Meta-Analysis. J Med Internet Res. 2024 Aug 2;26:e54876. doi: 10.2196/54876.
Other Identifiers
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2025-2/19
Identifier Type: -
Identifier Source: org_study_id
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