Data Transformation Improves SpineHRNet+ Cobb Predictions
Researchers from seven hospitals in China and Hong Kong developed a real-time pixel intensity–based data transformation and integrated it into SpineHRNet+ to improve adolescent idiopathic scoliosis (AIS) assessment, using 3,899 full-spine radiographs collected between January 2012 and August 2024. The enhanced model achieved mean Cobb angle errors within 4° (SD 3.12°), R² >0.90 across centers, sensitivity 90.18%, and NPV 93.16%, demonstrating scalable multicenter performance.
Scoring Rationale
Strong multicenter validation and practical, deployable method + incremental novelty compared with existing domain-adaptation techniques.
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