Background Machine learning has been applied to improve diagnosis and prognostication
of acute traumatic spinal cord injury. We investigate potential for clinical integration of …

Applications of machine learning (ML) in translational medicine include therapeutic drug
creation, diagnostic development, surgical planning, outcome prediction, and intraoperative …

Study Design: Retrospective Cohort Study. Objective: To explore the differences in Medicare
reimbursement for lumbar fusion performed at an orthopaedic specialty hospital (OSH) and …

Objectives The goal of this study is to implement machine learning (ML) algorithms to predict
mortality, non-home discharge, prolonged length of stay (LOS), prolonged length of …

Background Spinal meningiomas are benign extra-axial tumors that can present with
neurological deficits. Treatment partly depends on the degree of disability as there is no …

Registries are gaining importance both in clinical practice and for research purposes.
However, quality control is paramount to ensure that data are consistent and reliable. Quality …

Machine learning (ML) involves dynamic evaluation of healthcare data by artificial
intelligence that may be applied to diagnostic and therapeutic medical interventions [1–3] …

Вопросы механогенеза деформации позвоночника при различной его патологии по-
прежнему являются актуальными как с научной, так и с практической точки зрения …

Использование короткосегментарной транспедикулярной фиксации (ТПФ) при лечении
переломов грудных и поясничных позвонков без признаков остеопороза, наряду с …