Development and validation of a computable phenotype for adolescent idiopathic scoliosis

The CP had good performance in identifying pediatric patients with AIS. Future refinements to the algorithm should include the use of x-ray parameters or the application of natural language processing to unstructured EHR data to better distinguish AIS cases from other spinal diagnoses. This CP is a fundamental step to facilitate a learning health system environment that can rapidly develop evidence to improve pediatric patient outcomes.

Authors

Institutions

Publication Details

Journal
Learning Health Systems
Published
2025-06-06
DOI
https://doi.org/10.1002/lrh2.70018
Primary Topic
Scoliosis diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of a computable phenotype for adolescent idiopathic scoliosis

Sarah B. Floyd, Donna Oeffinger, Coleman Hilton, Steven W. Hwang et al.
Learning Health Systems
Scoliosis diagnosis and treatment
article

Development and validation of a computable phenotype for adolescent idiopathic scoliosis

Sarah B. Floyd, Donna Oeffinger, Coleman Hilton, Steven W. Hwang, Christian Lowson, Jason Woloff, Ashley Mills
article en

Abstract

The CP had good performance in identifying pediatric patients with AIS. Future refinements to the algorithm should include the use of x-ray parameters or the application of natural language processing to unstructured EHR data to better distinguish AIS cases from other spinal diagnoses. This CP is a fundamental step to facilitate a learning health system environment that can rapidly develop evidence to improve pediatric patient outcomes.

Learning Health SystemsVol. 9(4)
Shriners Hospitals for Children - Tampa (US), Shriners Hospitals for Children - Philadelphia (US), Shriners Hospitals for Children (US), Shriners Hospitals for Children Medical Center - Lexington (US), Clemson University (US)
Openalex Percentile: Top 77%
Scoliosis diagnosis and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Development and validation of a computable phenotype for adolescent idiopathic scoliosis — Sarah B. Floyd, Donna Oeffinger, et al. · Learning Health Systems (2025) | TGRS Research Map | TGRS