Artificial Intelligence in Spine Imaging Interpretation

Seminars in Musculoskeletal Radiology 2026

View at publisher
Authors: Salvatore Gitto, Patrick Omoumi, Domenico Albano, Pau Xiberta, Silvia Rossi, Aldo Rizzo, Carmelo Messina, Alessandra Splendiani, Antonio Barile, Luca Maria Sconfienza
DOI: 10.1055/a-2836-8033
Cited by: 1
References: 74

Abstract

Abstract: Spinal disorders, one of the leading causes of disability worldwide, are routinely assessed on imaging studies. Recent advancements in artificial intelligence for spine imaging interpretation may significantly improve diagnostic accuracy and workflow efficiency, using deep learning and conventional machine learning methods. This narrative review focuses on the innovative artificial intelligence applications in spine imaging interpretation with a pathology-based approach: vertebral fractures, spinal deformities, degenerative disease, skeletal tumors, inflammatory disorders, and opportunistic screening. We provide musculoskeletal radiologists with an up-to-date overview of artificial intelligence applications in spine imaging, thus assisting them in an efficient use of these emerging technologies and promoting clinical adoption.

Fields of Study & Subjects

Medical Imaging and Analysis Artificial Intelligence in Healthcare and Education Spinal Fractures and Fixation Techniques

Publication details

Journal / source
Seminars in Musculoskeletal Radiology
Publisher
Georg Thieme Verlag KG
Volume
30
Issue
03
Pages
319–326
Publication date
14 April 2026
Language
EN