Radiomics and machine learning–based methods offer exciting opportunities for improving
diagnostic performance and efficiency in musculoskeletal radiology for various tasks …

Low Back Pain (LBP) is currently the first cause of disability in the world, with a significant
socioeconomic burden. Diagnosis and treatment of LBP often involve a multidisciplinary …

There is a growing interest in the application of artificial intelligence (AI) to orthopaedic
surgery. This review aims to identify and characterise research in this field, in order to …

Purpose The field of artificial intelligence is ever growing and the applications of machine
learning in spine care are continuously advancing. Given the advent of the intelligence …

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 …

Objectives To evaluate a deep learning model for automated and interpretable classification
of central canal stenosis, neural foraminal stenosis, and facet arthropathy from lumbar spine …

OBJECTIVE Magnetic resonance imaging (MRI) is the gold-standard tool for diagnosing
lumbar spinal stenosis (LSS), but it is difficult to promptly examine all suspected cases with …

The purpose of this narrative review was to comprehensively elaborate the various
components of artificial intelligence (AI), their applications in spine surgery, practical …

Objectives The aim of this study was to clinically validate a fully automated AI model for
magnetic resonance imaging (MRI)–based quantifications of lumbar spinal canal stenosis …

Recent investigations have focused on the clinical application of artificial intelligence (AI) for
tasks specifically addressing the musculoskeletal imaging routine. Several AI applications …