AI-Based Camera Rehabilitation for Hand Therapy
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial tests a new camera-based system designed to monitor hand and arm rehabilitation exercises from home. The system uses artificial intelligence to assess joint and muscle movement during exercises. Individuals recovering from a hand or arm injury or surgery who can perform basic movements might be suitable participants. The goal is to determine if this technology can provide real-time feedback to enhance rehabilitation remotely, reducing the need for frequent clinic visits. As an unphased trial, this study offers participants the chance to contribute to innovative technology that could transform remote rehabilitation.
Will I have to stop taking my current medications?
The trial information does not specify whether you need to stop taking your current medications. It's best to discuss this with the study team or your doctor.
What prior data suggests that this AI-based camera system is safe for remote rehabilitation?
Research has shown that AI-based rehabilitation systems are generally safe and well-tolerated. For example, a study on similar smart device therapies found they improved hand movement without major side effects. Additionally, reviews of AI in rehabilitation have not reported serious problems. This suggests that AI-driven systems, like the camera-based one in this trial, could be safe for use in remote rehabilitation. Although this system is not yet approved for any condition, existing research on AI technologies in similar areas supports their safety in aiding recovery.12345
Why are researchers excited about this trial?
Researchers are excited about this trial because it explores a novel approach to hand therapy using an AI-based camera system. Unlike standard telehealth rehabilitation, which offers periodic guidance, this innovative method provides real-time biomechanical feedback by estimating joint torque, muscle force, and range of motion. This real-time data allows clinicians to make immediate adjustments to the rehabilitation plan, potentially improving the effectiveness and efficiency of recovery. The use of AI to provide personalized, adaptive feedback is a significant leap forward, aiming to enhance patient outcomes in hand therapy.
What evidence suggests that this AI-based camera system is effective for hand rehabilitation?
This trial will compare an AI-Based Camera Tele-Rehabilitation Monitoring System with Standard Telehealth Rehabilitation for hand therapy. Research has shown that AI-based systems can aid in hand rehabilitation. These systems use a camera to accurately measure joint movement and muscle strength. Studies confirm their accuracy matches traditional methods. AI systems also personalize therapy by analyzing patient data to suggest changes, potentially leading to better recovery and making remote therapy more effective. Participants in the trial's intervention arm will receive real-time biomechanical feedback, while those in the control arm will receive standard telehealth rehabilitation without this feedback.26789
Are You a Good Fit for This Trial?
This trial is for adults 18 or older who are recovering from hand or upper-limb injuries, surgeries, or neurological conditions and are currently doing rehabilitation. Participants must be able to move their hands/arms enough to do the exercises and understand instructions.Inclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants perform standardized hand/upper-limb rehabilitation exercises while an AI-based camera system estimates joint torque, muscle force, and range of motion in real time
Follow-up
Participants are monitored for safety and effectiveness after treatment
What Are the Treatments Tested in This Trial?
Interventions
- AI-Based Camera Tele-Rehabilitation Monitoring System
- Standard Telehealth Rehabilitation
Trial Overview
The study compares standard telehealth rehab with a new AI-based camera system that tracks hand and arm movements in real time during remote therapy sessions. The goal is to see if the camera system can provide accurate measurements for better monitoring.
How Is the Trial Designed?
2
Treatment groups
Experimental Treatment
Active Control
Participants perform standardized hand/upper-limb rehabilitation exercises while an AI-based camera system estimates joint torque, muscle force, and range of motion in real time. Clinicians may use the biomechanical feedback to guide rehabilitation adjustments over the 6-week study period.
Participants receive standard telehealth rehabilitation with periodic/weekly check-ins and usual care guidance. No real-time camera-based biomechanical monitoring feedback is provided.
Find a Clinic Near You
Who Is Running the Clinical Trial?
Mississippi State University
Lead Sponsor
University of Mississippi Medical Center
Collaborator
Citations
Smart Device–Based Therapy on Hand Motor Function ... - PMC
Studies suggested that these interventions not only enhanced motor outcomes but also positively influenced psychological well-being, such as ...
Patient–Therapist Cooperative Hand Telerehabilitation ...
In this paper, we present a novel framework for hand telerehabilitation that allows cooperation between patients and therapists and includes a CV-based system ...
An Accessible AI-Assisted Rehabilitation System for Guided ...
Validation studies support the efficacy of these markerless approaches, demonstrating accuracy comparable to that of traditional motion-capture ...
Use of Artificial Intelligence Systems for Hand Motor ...
Handy Rehab System-This system uses RGB-D cameras (such as Microsoft Kinect) to capture hand movements and a robotic exoskeleton to assist hand ...
5.
asht.org
asht.org/education/artificial-intelligence-rehab-game-changer-or-threat-hand-therapy-practiceA Game-Changer or a Threat for Hand Therapy Practice?
Furthermore, we will provide an overview of current AI applications in rehabilitation, showcasing real-world examples and exploring their effectiveness.
Smart Device–Based Therapy on Hand Motor Function ...
Data extraction was carried out systematically, capturing key study characteristics, intervention types, and outcome measures. The effectiveness ...
Artificial intelligence in rehabilitation: a review of clinical ...
A review of innovative medical rehabilitation systems with scalable AI-assisted platforms for sensor-based recovery monitoring. Appl Sci. (2025) 15:6840 ...
8.
ctv.veeva.com
ctv.veeva.com/study/accessible-remote-rehabilitation-system-for-real-time-biomechanical-monitoringAccessible Remote Rehabilitation System for Real-Time ...
This study evaluates a novel camera-based system designed to support remote rehabilitation by measuring hand and upper-limb biomechanics in real time.
9.
researchgate.net
researchgate.net/publication/381386268_AI-Powered_Camera_and_Sensors_for_the_Rehabilitation_Hand_ExoskeletonAI-Powered Camera and Sensors for the Rehabilitation ...
This project presents a vision-enabled rehabilitation hand exoskeleton to assist disabled persons in their hand movements.
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