Applying artificial intelligence to develop non-surgical treatment protocols for patients with adolescent idiopathic scoliosis
Adolescent Idiopathic Scoliosis (AIS) is a 3-dimensional structural spinal disorder that develops during the pre-pubertal growth spurt. There is a relatively short window for non-surgical treatments to be effective. Specific exercise and brace treatment are the most commonly used methods. Currently, there is no standard and no scientific protocol that can assist clinicians for an optimized non-surgical management of AIS. In fact, the parameters including clinical markers and baseline indicators that are extracted from both bracing and exercise therapies to integrate for a more efficient treatment protocol are also unknown. This project aims to apply artificial intelligence to develop a scientific based treatment protocols for non-surgical treatment.