Abstract
The aim of this review article is to systematize and analyze modern innovative methods for the differential diagnosis of cervicalgia. Cervicalgia, or neck pain, is a common pathology often associated with degenerative-dystrophic changes in the cervical spine. In recent years, new diagnostic methods such as ultrasound elastography, functional magnetic resonance imaging (fMRI), molecular diagnostics, diffusionweighted MRI, postural analysis, as well as virtual and augmented reality technologies have emerged. These innovative methods allow for a more precise and objective assessment of the condition of the cervical spine, the identification of early signs of pathological changes, and the differential diagnosis of neck pain. Advanced technologies such as magnetic resonance spectroscopy and optical coherence tomography are also considered. Special attention is paid to the use of artificial intelligence and machine learning for the analysis of medical images. This article discusses the advantages and prospects of these innovative approaches, as well as their impact on improving the quality of medical care and enhancing patients' quality of life.