Owing to rapidly changing global demographics, adult spinal deformity (ASD) now accounts
for a significant proportion of the Global Burden of Disease. Sagittal imbalance caused by …

Study Design: Narrative review. Objectives: This review aims to present current applications
of machine learning (ML) in spine domain to clinicians. Methods: We conducted a …

Study Design Retrospective cohort study Objective The aim of this study was to determine
the relative importance and predicative power of the Hospital Frailty Risk Score (HFRS) on …

BACKGROUND CONTEXT The increasing volume of free-text notes available in electronic
health records has created an opportunity for natural language processing (NLP) algorithms …

OBJECTIVE In recent years, machine learning models for clinical prediction have become
increasingly prevalent in the neurosurgical literature. However, little is known about the …

Outcomes for adult spinal deformity continue to improve as new technologies become
integrated into clinical practice. Machine learning, robot-guided spinal surgery, and patient …

Study Design Narrative review. Objectives Artificial intelligence (AI) is being increasingly
applied to the domain of spine surgery. We present a review of AI in spine surgery, including …

OBJECTIVE Earlier research has demonstrated that social determinants of health (SDoH)
impact neurosurgical access and outcomes, but these trends are less characterized for …

Background: Numerous applications and strategies have been utilized to help assess the
trends and patterns of readmissions after orthopaedic surgery in an attempt to extrapolate …

Objectives Despite the increasing interest in applying machine learning (ML) methods in
health economics and outcomes research (HEOR), stakeholders face uncertainties in when …