"Sacroiliitis-AI" refers to the application of artificial intelligence (AI) in the diagnosis and management of sacroiliitis, a condition characterized by inflammation of the sacroiliac joints, which connect the lower spine to the pelvis. The integration of AI in sacroiliitis aims to enhance diagnostic accuracy, streamline the identification of disease patterns, and offer personalized treatment recommendations. Through the use of advanced imaging techniques, such as MRI and CT scans, AI models can assist healthcare professionals in detecting subtle signs of inflammation, classifying the severity of the condition, and predicting the potential progression of the disease. By leveraging machine learning algorithms, healthcare providers can improve patient outcomes through earlier detection and more targeted interventions.