The Effect of Artificial Intelligence-Based Postural Feedback on Posture Correction in Idiopathic Scoliosis Patients
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 入组人数
- 30
- 试验地点
- 1
研究概览
简要总结
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.
研究设计
- 研究类型
- Interventional
- 分配方式
- Randomized
- 干预模型
- Parallel
- 主要目的
- Treatment
- 盲法
- Single (Outcomes Assessor)
盲法说明
The assessor was blinded to the participant groups and operated independently from the intervention provider.
入排标准
- 年龄范围
- 10 Years 至 18 Years（Child, Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Diagnosis of adolescent idiopathic scoliosis (AIS) by a physician.
- •Aged between 10 and 18 years.
- •Cobb angle between 10 and 40 degrees.
排除标准
- •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.
研究者
Rommanee Rojasavastera
Researcher
Mahidol University