A deep learning model for the diagnosis of sacroiliitis according to Assessment of SpondyloArthritis International Society classification criteria with magnetic resonance imaging

•An artificial intelligence model was developed to detect sacroiliac bone marrow edema on MRI in patients with chronic inflammatory back pain.•This artificial intelligence model determines the status of sacroiliac joint according to the assessment of spondyloarthritis international society (ASAS) classification, yielding 100% specificity but 56% sensitivity on external evaluation dataset.•A good agreement between this artificial intelligence model and the majority decision of expert readers is obtained on the external evaluation dataset for the diagnosis of active sacroiliitis according to ASAS classification.