Salvatore Gitto, Patrick Omoumi, Domenico Albano, Pau Xiberta, Silvia Rossi, Aldo Rizzo, Carmelo Messina, Alessandra Splendiani, Antonio Barile, Luca Maria Sconfienza
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引用次数: 0
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.
期刊介绍：
Seminars in Musculoskeletal Radiology is a review journal that is devoted to musculoskeletal and associated imaging techniques. The journal''s topical issues encompass a broad spectrum of radiological imaging including body MRI imaging, cross sectional radiology, ultrasound and biomechanics. The journal also covers advanced imaging techniques of metabolic bone disease and other areas like the foot and ankle, wrist, spine and other extremities.
The journal''s content is suitable for both the practicing radiologist as well as residents in training.
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