In 2023, large language models demonstrated potential for use in rheumatology to accurately suggest diagnoses and provide empathetic patient education. However, the propensity of this technology to generate misleading information continues to pose risks. Balancing innovation with physician guidance is essential.
Key advances
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Large language models (LLMs) have demonstrated diagnostic potential for rheumatic diseases, in some situations even outperforming diagnosis by rheumatologists5.
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ChatGPT and other LLMs can potentially contribute to patient education by providing detailed and empathetic responses to their queries, thereby enhancing patient understanding, fostering trust and promoting treatment adherence6.
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Caution should be displayed in the use of LLMs, as they have displayed a propensity for generating ‘hallucinated’ or misleading information about anchor medications such as methotrexate7.
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References
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Krusche, M., Callhoff, J., Knitza, J. & Ruffer, N. Diagnostic accuracy of a large language model in rheumatology: comparison of physician and ChatGPT-4. Rheumatol. Int. https://doi.org/10.1007/s00296-023-05464-6 (2023).
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Coskun, B. N., Yagiz, B., Ocakoglu, G., Dalkilic, E. & Pehlivan, Y. Assessing the accuracy and completeness of artificial intelligence language models in providing information on methotrexate use. Rheumatol. Int. https://doi.org/10.1007/s00296-023-05473-5 (2023).
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Related links
Bard: https://bard.google.com/
ChatGPT: https://chat.openai.com
Claude: https://claude.ai/chats
Llama: https://ai.meta.com/llama/
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Venerito, V., Gupta, L. Large language models: rheumatologists’ newest colleagues?. Nat Rev Rheumatol 20, 75–76 (2024). https://doi.org/10.1038/s41584-023-01070-9
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DOI: https://doi.org/10.1038/s41584-023-01070-9