Coskun BN, Yagiz B, Ocakoglu G, Dalkilic E, Pehlivan Y (2023) 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
Venerito V et al (2023) AI am a rheumatologist: a practical primer to large language models for rheumatologists. Rheumatology. https://doi.org/10.1093/rheumatology/kead291
Venerito V, Puttaswamy D, Iannone F, Gupta L (2023) Large language models and rheumatology: a comparative evaluation. Lancet Rheumatol 5(10):e574–e578. https://doi.org/10.1016/S2665-9913(23)00216-3
McMaster C, Bird A, Liew DF, Buchanan RR, Owen CE, Chapman WW, Pires DE (2022) Artificial intelligence and deep learning for rheumatologists. Arthritis Rheumatol 74(12):1893–1905. https://doi.org/10.1002/art.42296
Iyengar KP, Yousef M, Nune A, Sharma GK, Botchu R (2023) Perception of chat generative pre-trained transformer (Chat-GPT) AI tool amongst MSK clinicians. J Clin Orthop Trauma. https://doi.org/10.1016/j.jcot.2023.102253
Hügle T (2023) The wide range of opportunities for large language models such as ChatGPT in rheumatology. RMD Open 9(2):e003105. https://doi.org/10.1136/rmdopen-2023-003105
Solomon DH, Allen KD, Katz P, Sawalha AH, Yelin E (2023) ChatGPT, et al… artificial intelligence, authorship, and medical publishing. ACR Open Rheumatol 5(6):288. https://doi.org/10.1002/acr2.11538
Verhoeven F, Wendling D, Prati C (2023) ChatGPT: when artificial intelligence replaces the rheumatologist in medical writing. Ann Rheum Dis. https://doi.org/10.1136/ard-2023-223936
Mannstadt I, Mehta B (2023) Large language models and the future of rheumatology: assessing impact and emerging opportunities. Curr Opin Rheumatol. https://doi.org/10.1097/BOR.0000000000000981
