This article discusses the various applications of deep learning in medical imaging, specifically in the field of rheumatology. These applications range from grading degenerative spine disorders to detecting microvasculopathies in systemic sclerosis. While these methods are still in the early stages of development, they show promise for future clinical use. However, there are still limitations and potential errors that need to be addressed before widespread implementation can occur.
