Artificial Intelligence-Based Postural Feedback for Scoliosis

NCT07669428 | Not Yet Recruiting

• 1 other identifier: MU-CIRB 2026/171.2603
• Study Type: interventional
• Target: 30
• Locations: 1 country
• Sites: 1

Brief 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.

Conditions

Postural Alignment; Idiopathic Adolescent Scoliosis

Keywords

artificial Intelligence; posture; scoliosis; three-dimensional imaging

Outcome Measures

Primary Outcomes (4)

• REEDCO postural score

  The REEDCO Posture Assessment was used to evaluate postural scores during comfortable standing and postural self-correction.

  before and immediately after intervention

• Angle of trunk rotation

  A scoliometer was used to evaluate the angle of trunk rotation during Adam's Forward Bend Test.

  before and immediately after intervention

• Postural Variables Derived from a 3D Motion Analysis System

  A 3D motion analysis system (VICON Motion Systems Ltd., Oxford, UK) was used to evaluate postural variables during comfortable standing, postural self-correction, and the Adam's Forward Bend Test.

  before and immediately after intervention

• Postural Variables Derived from a PAViR System

  A PAViR system (MGsolutions Inc., Seoul, South Korea) was used to evaluate postural variables during comfortable standing, postural self-correction, and the Adam's Forward Bend Test.

  before and immediately after intervention

Secondary Outcomes (2)

• Illness Perception

  before and immediately after intervention

• Exercise Motivation

  before and immediately after intervention

Study Arms (2)

AI-Based Postural Feedback Group

EXPERIMENTAL

Participants in the experimental group received postural feedback via the PAViR system, integrated with posture correction exercises and physical therapy for scoliosis.

Other: Postural feedback; Other: Physical therapy for scoliosis

Conventional Postural Feedback Group

ACTIVE COMPARATOR

Participants in the control group received the same exercise and therapy sessions, but without the postural feedback provided by the PAViR system.

Other: Physical therapy for scoliosis

Interventions

Postural feedback OTHER

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.

AI-Based Postural Feedback Group

Physical therapy for scoliosis OTHER

The physical therapist conducted 60-minute sessions. These sessions were grounded in the principles of the Schroth Method and Physiotherapeutic Scoliosis-Specific Exercises (PSSE).

AI-Based Postural Feedback Group; Conventional Postural Feedback Group

Eligibility Criteria

• Age: 10 Years - 18 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Child (0-17), Adult (18-64)

You may qualify if:

• Diagnosis of adolescent idiopathic scoliosis (AIS) by a physician.
• Aged between 10 and 18 years.
• Cobb angle between 10 and 40 degrees.

You may not qualify if:

• Leg length discrepancy greater than 2 cm, measured from the anterior superior iliac spine (ASIS) to the lateral malleolus.
• Previous history of spinal surgery.
• Musculoskeletal or neurological injuries that affect balance and gait.
• Inability to follow the research procedures.

Sponsors & Collaborators

• Mahidol University: lead

Study Sites (1)

Faculty of Physical Therapy, Mahidol University

Salaya, Changwat Nakhon Pathom, 73170, Thailand

Location

MeSH Terms

Conditions

Scoliosis

Interventions

Physical Therapy Modalities

Condition Hierarchy (Ancestors)

Spinal Curvatures; Spinal Diseases; Bone Diseases; Musculoskeletal Diseases

Intervention Hierarchy (Ancestors)

Therapeutics; Rehabilitation

Central Study Contacts

Rommanee Rojasavastera, M.Sc.

CONTACT

+66837830777; rommanee.roj@mahidol.ac.th

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Masking Details: The assessor was blinded to the participant groups and operated independently from the intervention provider.
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Researcher

Model Details: The study was a single-blind randomized controlled trial with a 1:1 parallel-group design.

Study Record Dates

• First Submitted: June 17, 2026
• First Posted: June 25, 2026
• Study Start: July 1, 2026
• Primary Completion (Estimated): July 1, 2027
• Study Completion (Estimated): July 1, 2027
• Last Updated: June 25, 2026

Record last verified: 2026-06

Data Sharing

• IPD Sharing: Will share

Locations

TH (1)