Identifying Sources of Variability in Scoliosis Classification Using a Rule-Based Automated Algorithm

Abstract

Objective measurements and rule-based algorithms can eliminate some sources of interobserver and intraobserver errors in classification of spinal deformity. When classification parameters fall close to the boundaries for classification, reliability problems will persist.