Hosted by Bharat Kumar, MD, MME, FACP, FAAAAI, RhMSUS, physician editor, The Rheumatologist Amidst mounting excitement over emerging artificial intelligence tools, Dr. Kumar cautions against the expectation that technology will offer a quick fix to complex, systemic healthcare problems. Go to current issue.
As I was aimlessly browsing the web one night, I noticed a strange ad on the side. It was for a bird feeder powered by artificial intelligence (AI). I don’t know exactly what prompted the Google ad algorithm to show me this particular advertisement, but I was nevertheless struck by it. Against my better judgment,…
Chatbots are not a new concept, but have recently gained popularity and traction. Launched in late 2022, ChatGPT (Chat Generative Pre-Trained Transformer) is a web-based platform designed to simulate interactive conversations and deliver real-time data. It has quickly become a tool that provides instantaneous information that can be more focused than a Google search.1 We,…
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…
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.
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…
SAN DIEGO—Award presentations & artificial intelligence topped the list in the ACR Convergence 2023 Opening Session & Keynote Lecture on Nov. 11.
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 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.
I looked at the joints. They spoke back to me—”I need more humanism,” they whispered. 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…