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Artificial Intelligence-Based Postural Feedback for Scoliosis
Sponsor: Mahidol University
Summary
Due to advancements in technology, Posture-Analyzing and Virtual Reconstructing (PAViR) systems were developed. They used Red-Green-Blue-Depth camera sensors and artificial intelligence to evaluate human posture alignment, muscle balance, and movement without the use of radiation or physical markers. This technology served as a portable, X-ray-like device that was safe and user-friendly, providing detailed views of bone and muscle models alongside easy-to-understand 3D visualizations. However, how to utilize the data obtained from PAViR to support traditional treatment remained unclear. To fill this gap, this study aimed to investigate the effects of AI-based postural feedback on posture correction in patients with idiopathic scoliosis.
Official title: The Effect of Artificial Intelligence-Based Postural Feedback on Posture Correction in Idiopathic Scoliosis Patients
Key Details
Gender
All
Age Range
10 Years - 18 Years
Study Type
INTERVENTIONAL
Enrollment
30
Start Date
2026-07
Completion Date
2027-07
Last Updated
2026-06-25
Healthy Volunteers
No
Interventions
Postural feedback
The physical therapist reported the findings from the PAViR system to the participants during a 10-minute session. Data regarding skeletal alignment and muscle imbalances were provided to enhance participants' self-awareness of their specific postural issues. Furthermore, these insights were integrated into the subsequent training sessions for the experimental group.
Physical therapy for scoliosis
The physical therapist conducted 60-minute sessions. These sessions were grounded in the principles of the Schroth Method and Physiotherapeutic Scoliosis-Specific Exercises (PSSE).
Locations (1)
Faculty of Physical Therapy, Mahidol University
Salaya, Changwat Nakhon Pathom, Thailand