ASNET: a novel AI framework for accurate ankylosing spondylitis diagnosis from MRI
Background: Ankylosing spondylitis (AS) is a chronic, painful, progressive disease usually
seen in the spine. Traditional diagnostic methods have limitations in detecting the early …
seen in the spine. Traditional diagnostic methods have limitations in detecting the early …
Artificial intelligence and machine learning in axial spondyloarthritis
LC Adams, KK Bressem… - Current Opinion in …, 2024 - journals.lww.com
Artificial intelligence technologies have significant potential to advance the diagnosis and
treatment of axSpA, providing more accurate, efficient and personalized healthcare …
treatment of axSpA, providing more accurate, efficient and personalized healthcare …
Radiological Insights into Sacroiliitis: A Narrative Review
A Al-Mnayyis, S Obeidat, A Badr, B Jouryyeh… - Clinics and …, 2024 - mdpi.com
Sacroiliitis is the inflammation of the sacroiliac joint, the largest axial joint in the human body,
contributing to 25% of lower back pain cases. It can be detected using various imaging …
contributing to 25% of lower back pain cases. It can be detected using various imaging …
Deep learning algorithm of the SPARCC scoring system in SI joint MRI
Background The Spondyloarthritis Research Consortium of Canada (SPARCC) scoring
system is a sacroiliitis grading system. Purpose To develop a deep learning‐based pipeline …
system is a sacroiliitis grading system. Purpose To develop a deep learning‐based pipeline …
Use of MRI-based deep learning radiomics to diagnose sacroiliitis related to axial spondyloarthritis
K Zhang, C Liu, J Pan, Y Zhu, X Li, J Zheng… - European Journal of …, 2024 - Elsevier
Objectives This study aimed to evaluate the performance of a deep learning radiomics
(DLR) model, which integrates multimodal MRI features and clinical information, in …
(DLR) model, which integrates multimodal MRI features and clinical information, in …