Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence.

ABSTRACT:

Background

Adolescent idiopathic scoliosis (AIS) is the most common type of scoliosis, affecting 1-4% of adolescents. The Scoliosis Research Society-22R (SRS-22R), a health-related quality-of-life instrument for AIS, has allowed orthopedists to measure subjective patient outcomes before and after corrective surgery beyond objective radiographic measurements. However, research has revealed that there is no significant correlation between the correction rate in major radiographic parameters and improvements in patient-reported outcomes (PROs), making it difficult to incorporate PROs into personalized surgical planning.

Methods

The objective of this study is to develop an artificial intelligence (AI)-enabled surgical planning and counseling support system for post-operative pat

SUBMITTER: Shi W 

PROVIDER: S-EPMC11697361 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature