HEALTH

How AI Chatbots Measure Up in Rheumatology

Wed Nov 19 2025
AI chatbots are becoming popular for giving health advice. But how good are they really? A recent study looked at four big AI models: DeepSeek-R1, ChatGPT-4. 0, Copilot, and Gemini-2. 0. These models can answer questions about health, but they haven't been tested much in rheumatology, the study of connective tissue diseases. Most research has focused on single models or general medical questions. There's a lack of studies comparing different models, especially Chinese ones like DeepSeek-R1. This gap makes it hard to know how well AI can help in rheumatology. Rheumatic diseases are complex. They affect joints, muscles, and other connective tissues. Patients often need detailed, accurate information. AI could be a big help, but only if it's reliable. The study highlights the need for more research. The four models have different strengths and weaknesses. DeepSeek-R1, for example, is a Chinese model that's not been studied much. ChatGPT-4. 0 and Gemini-2. 0 are well-known, but how do they compare? Copilot is also in the mix, but its performance in medical fields is less clear. The study suggests that AI has potential, but more work is needed. It's not just about accuracy. AI models need to understand the nuances of rheumatic diseases. They need to provide information that's useful and safe for patients. In the end, AI could be a game-changer for rheumatology. But first, we need to understand how these models perform. Only then can we trust them to help patients.

questions

    What methodologies could be employed to ensure a more comprehensive and unbiased evaluation of LLMs in the context of rheumatology?
    What ethical considerations should be taken into account when integrating LLMs into the provision of medical information for patients with connective tissue diseases?
    How do the performances of DeepSeek-R1, ChatGPT-4.0, Copilot, and Gemini-2.0 compare when providing information on less common connective tissue diseases?

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