Clinical Research Directory

Artificial Intelligence-Based Postural Feedback for Scoliosis

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.

Relationship Between Forward Head Posture and Sagittal Lumbopelvic Alignment Among Smartphone Users

Forward head posture is a common postural abnormality characterized by anterior positioning of the head in the sagittal plane. This posture may increase biomechanical stress on the cervical spine and may be associated with compensatory changes in spinal and lumbopelvic alignment. This observational study will investigate the relationship between forward head posture and sagittal lumbopelvic alignment among male smartphone users aged 18 to 35 years. Craniovertebral angle will be measured using the APECS mobile application, and sagittal lumbopelvic alignment parameters will be measured using the Spine3D LiDAR system.