Artificial intelligence in rheumatology

Autoimmune rheumatic diseases are characterized by chronic inflammation driven by abnormal immune responses reflected in a significant heterogeneity in clinical presentation and a multitude of disease and organ-specific biomarkers. Recent advances in research try to make use of various tests and patient and disease-related outcomes to improve disease recognition and support personalized therapeutic interventions, ultimately aiming for improved patient outcomes. Artificial intelligence (AI) is a broad terminology comprising various analytical models that aim to mimic the function of the human brain by learning from existing knowledge. Machine learning is one of the most important AI methods, which has the ability to handle high-dimensional data, automatically without human intervention, allowing for easy pattern identification in a wide range of applications.