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Rheumatology

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A Stepwise Approach to Analyzing Musculoskeletal Imaging Data With Artificial Intelligence.

Arthritis care & research
The digitization of medical records and expanding electronic health records has created an era of "Big Data" with an abundance of available information ranging from clinical notes to imaging studies. In the field of rheumatology, medical imaging is u...

Artificial intelligence to analyze magnetic resonance imaging in rheumatology.

Joint bone spine
Rheumatic disorders present a global health challenge, marked by inflammation and damage to joints, bones, and connective tissues. Accurate, timely diagnosis and appropriate management are crucial for favorable patient outcomes. Magnetic resonance im...

[From conventional to cutting edge imaging in rheumatology].

Zeitschrift fur Rheumatologie
Imaging instruments, such as conventional X‑ray, ultrasound and magnetic resonance imaging (MRI) are now fully established and highly valued in the care of rheumatology patients. However, the information provided by these imaging modalities in their ...

Comparison of physician and artificial intelligence-based symptom checker diagnostic accuracy.

Rheumatology international
Symptom checkers are increasingly used to assess new symptoms and navigate the health care system. The aim of this study was to compare the accuracy of an artificial intelligence (AI)-based symptom checker (Ada) and physicians regarding the presence/...

Nothing about us without us: involving patient collaborators for machine learning applications in rheumatology.

Annals of the rheumatic diseases
Novel machine learning methods open the door to advances in rheumatology through application to complex, high-dimensional data, otherwise difficult to analyse. Results from such efforts could provide better classification of disease, decision support...