Can machine learning aid clinicians in diagnosing systemic lupus erythematosus? Adamichou et al. designed an algorithm that uses classical features of lupus to simulate medical reasoning and identify lupus early in the disease process. They were able to validate the algorithm, which demonstrated high sensitivity, specificity and accuracy.
Search results for: machine learning
Beyond Trial & Error: RheumMadness 2022 AI: TNFi Response Scouting Report
As the capabilities of machine learning and artificial intelligence improve, rheumatologists have access to more data than ever, which may enable them to better predict which patients will respond to specific treatments, such as tumor necrosis factor inhibitors.
A Possible Diagnostic Tool: RheumMadness 2022 AI: JIA Subtypes Scouting Report
Machine learning is a tool that may help pediatric rheumatologists distinguish between different subtypes of juvenile idiopathic arthritis (JIA) and predict treatment response.
Basic Science Sessions: Diverse Topics, Wide Appeal
Machine learning, immunology, the metabolism—are just a few of the topics addressed during…
A Practical Guide to Autoantibody Testing in Rheumatic Diseases
“ANA’s are some of most commonly ordered tests but what exactly are they and what do you do with a positive ANA? Check out the Editor’s Pick for October to learn more,” says Physician Editor Bharat Kumar, MD, MME, FACP, FAAAAI, RhMSUS.
An Expert’s Take on the Best Research in RA to Be Presented at ACR Convergence 2024
With thousands of research abstracts and posters being presented at ACR Convergence 2024, Nov. 14–19, at the Walter E. Washington Convention Center in Washington, D.C., figuring out which research is important today, which could prove important in the future, what has the potential to affect clinical care or prove the basis for future research is…
Helping Patients with SLE Thrive
Dr. Laurent Arnaud highlighted the latest information on systemic lupus erythematosus (SLE), including genetics, technology, treat to target, and promising findings for pulse therapy in his session at EULAR 2024.
Ethics Forum: The Current Landscape of Artificial Intelligence in Medicine
A handful of articles on artificial intelligence (AI) have graced the pages of this publication in the past six years, including one by Bharat Kumar, MD, in November 2022. Dr. Kumar highlighted the exciting potential of AI in rheumatology, including machine learning (ML) algorithms for the prediction of response to methotrexate and a predictive model…
Telehealth Triage Study Seeks to Close Gaps in Care
Reducing the time to diagnosis and initiation of appropriate treatment is paramount to intercept inflammatory damage in patients at the onset of rheumatic disease. But those targets can be delayed by provider shortages and other barriers to care. Since last June, Remission Medical, a virtual rheumatology clinic, has been partnering with Mayo Clinic to find…
Physicians vs. Artificial Intelligence
When patients have questions, can artificial intelligence (AI) generate accurate, comprehensive answers? Ye et al. conducted a single-center, cross-sectional survey of rheumatology patients and physicians in Edmonton, Canada, to explore that question.
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