Disease detection, access to care and remote patient monitoring are just a few areas in which AI is expected to aid rheumatology, but there will still be room for the human touch.
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.
Large Language Models in Medicine: The potential to reduce workloads, leverage the EMR for better communication & more
Large language models are a type of AI that allows users to generate new content, drawing from a huge dataset to learn how to mimic “natural language” with many possible beneficial applications for this technology in medicine.
Another Way: RheumMadness 2022 DECT in Gout Scouting Report
Research has found dual-energy computed tomography (DECT) may be a non-invasive and cost-effective option to help rheumatologists more accurately diagnose gout.
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.
Artificial Intelligence in Medicine: The Future Is Now
Advancements in technology and artificial intelligence designed to aid rheumatologists in diagnosing patients and predicting mortality risk were discussed in depth during a session of the European e-Congress of Rheumatology.
Coding Note
As of January 1, 2010, Medicare eliminated both inpatient and outpatient consultation codes.