Artificial intelligence and machine learning in axial spondyloarthritis.

Journal: Current opinion in rheumatology

Published Date: Jul 1, 2024

Abstract

PURPOSE OF REVIEW: To evaluate the current applications and prospects of artificial intelligence and machine learning in diagnosing and managing axial spondyloarthritis (axSpA), focusing on their role in medical imaging, predictive modelling, and patient monitoring.

Authors

Lisa C Adams

School of Medicine and Health, Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, TUM University Hospital, Technical University of Munich, Munich, Germany.
Keno K Bressem

School of Medicine and Health, Institute for Cardiovascular Radiology and Nuclear Medicine, German Heart Center Munich, TUM University Hospital, Technical University of Munich, Munich, Germany.
Denis Poddubnyy

Department of Gastroenterology, Infectious Diseases and Rheumatology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Keywords

Artificial Intelligence Axial Spondyloarthritis Deep Learning Humans Machine Learning Magnetic Resonance Imaging Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (38533807)

Artificial intelligence and machine learning in axial spondyloarthritis.

Abstract

Authors

Keywords

External Resources

Popular Topics

Recent Journals