Radiomics as a new frontier in modern rheumatology: Chest pathology visualization advances and prospects

The article discusses the modern trends in the development of digital technologies in medicine, exemplified by rheumatology, especially, the significance of radiomics, which combines radiology, mathematical modeling, and deep machine learning. Texture analysis of computed tomography images and other imaging methods provides a more deeply characterization of the pathophysiological features of tissues and can be considered as a non-invasive “virtual biopsy”.

It is shown that radiomics enhances the quality of diagnostic and predictive modeling. The potential application of radiomic models for studying and predicting chest organ lesions in various pathological conditions, including immune mediated inflammatory diseases, systemic vasculitis.

Progress in the diagnosis and treatment of rheumatic diseases may be facilitated by the integration of radiomics and other omics technologies. The digital era, which opens up vast prospects for advancements in rheumatology, will undoubtedly require complex solutions to new technical, legal, and ethical challenges.

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