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.
What Changes May the Next Decade Bring to Rheumatology?
Is it 2024 already? It seems like yesterday that I stuffed all my earthly belongings into my black Volkswagen Jetta and headed from Lexington, Ky., to Iowa City, Iowa, to start my rheumatology fellowship.1 That was 10 years ago. Now, in 2024, as I go online—particularly on social media—and see the various happy, smiling faces…
The ACR Opposes New AI-Based Decision-Making Platform
On July 1, Blue Cross Blue Shield of North Carolina introduced a machine-learning technology platform to make decisions about patients’ care and treatment. The ACR opposes its use on grounds that it may harm patients’ access to treatment and undermine the doctor-patient relationship.
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.
Exploring the Role of Artificial Intelligence in Rheumatology
To longtime readers, those two sentences may sound both familiar and alien, perhaps even a little humorous. That’s because those sentences were generated entirely by a computer using artificial intelligence (AI). It was simple, too: I just copied the text of 120 previous Rheuminations columns and entered them into a freely accessible, online AI software…
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 Gives Rheumatologists an Assist
As the novel coronavirus that causes COVID-19 spreads across the globe, innovative thinking is needed more than ever to counter the devastating effects on the physical and socioeconomic health of individuals and communities. Innovations in healthcare delivery not yet fully realized prior to the pandemic, such as the adoption of telehealth, are moving to the…
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.