Publications by authors named "Caleb C Witsken"
Spine Deform
January 2025
Article Synopsis
- The study utilized a machine learning semi-supervised clustering approach to analyze radiographs of normal adolescent sagittal spines, aiming to identify distinct patterns of sagittal alignment.
- The analysis of 111 spines revealed that they clustered into 3 to 5 distinct groups, with significant consistency in categorization across clusters and differences noted in parameters like SVA.
- The findings suggest that adolescent sagittal spine alignments can be classified into specific groups, with SVA being the most critical distinguishing feature, indicating a need for further research on its implications for spinal deformities.*
