BACKGROUND CONTEXT Artificial intelligence (AI) remain an emerging field and have not
previously been used to guide therapeutic decision making in thoracolumbar (TL) burst …

Study design Predictive algorithm via decision tree Objectives Artificial intelligence (AI)
remain an emerging field and have not previously been used to guide therapeutic decision …

Study Design Retrospective analysis of prospectively collected data. Objectives To compare
decision-making between an expert panel and real-world spine surgeons in thoracolumbar …

Study Design Retrospective analysis of prospectively collected data. Objectives Our goal
was to assess radiographic characteristics associated with agreement and disagreement in …

Study Design Prospective Observational Study. Objective To determine the alignment of the
AO Spine Thoracolumbar Injury Classification system and treatment algorithm with …

Study Design This paper presents a description of a conceptual framework and
methodology that is applicable to the manuscripts that comprise this focus issue. Objectives …

Study Design A prospective study. Objective to evaluate the impact of vertebral body
comminution and Posterior Ligamentous Complex (PLC) integrity on the treatment …

Abstract Background context The Thoracolumbar Injury Classification System (TLICS)
system has been developed to improve injury classification and guide surgical decision …

Background The management of thoracolumbar (TL) burst fractures is still controversial. The
thoracolumbar injury classification and severity score (TLICS) algorithm is now widely used …

Study Design Cross-sectional survey study. Objective To investigate factors affecting
decision-making in thoracolumbar burst-fractures without neurologic deficit. Methods A 40 …