Artificial Intelligence-Based Postural Feedback for Scoliosis

The Effect of Artificial Intelligence-Based Postural Feedback on Posture Correction in Idiopathic Scoliosis Patients

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.

Inclusion Criteria:

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

Exclusion Criteria:

• 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.