Artificial intelligence in rheumatology research: what is it good for?
Artificial intelligence (AI) is transforming rheumatology research, with a myriad of studies aiming to improve diagnosis, prognosis and treatment prediction, while also showing potential capability to optimise the research workflow, improve drug discovery and clinical trials. Machine learning, a key...
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| Format: | Article |
| Language: | English |
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BMJ Publishing Group
2025-01-01
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| Series: | RMD Open |
| Online Access: | https://rmdopen.bmj.com/content/11/1/e004309.full |
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| author | Diego Benavent José Miguel Sequí-Sabater |
| author_facet | Diego Benavent José Miguel Sequí-Sabater |
| author_sort | Diego Benavent |
| collection | DOAJ |
| description | Artificial intelligence (AI) is transforming rheumatology research, with a myriad of studies aiming to improve diagnosis, prognosis and treatment prediction, while also showing potential capability to optimise the research workflow, improve drug discovery and clinical trials. Machine learning, a key element of discriminative AI, has demonstrated the ability of accurately classifying rheumatic diseases and predicting therapeutic outcomes by using diverse data types, including structured databases, imaging and text. In parallel, generative AI, driven by large language models, is becoming a powerful tool for optimising the research workflow by supporting with content generation, literature review automation and clinical decision support. This review explores the current applications and future potential of both discriminative and generative AI in rheumatology. It also highlights the challenges posed by these technologies, such as ethical concerns and the need for rigorous validation and regulatory oversight. The integration of AI in rheumatology promises substantial advancements but requires a balanced approach to optimise benefits and minimise potential possible downsides. |
| format | Article |
| id | doaj-art-e1cc8abee78a4cb5a0175ffe5fb337ed |
| institution | DOAJ |
| issn | 2056-5933 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | RMD Open |
| spelling | doaj-art-e1cc8abee78a4cb5a0175ffe5fb337ed2025-08-20T02:46:47ZengBMJ Publishing GroupRMD Open2056-59332025-01-0111110.1136/rmdopen-2024-004309Artificial intelligence in rheumatology research: what is it good for?Diego Benavent0José Miguel Sequí-Sabater1Rheumatology Department, Hospital Universitari de Bellvitge, L`Hospitalet de Llobregat, Barcelona, SpainRheumatology Department, La Ribera University Hospital, Alzira, SpainArtificial intelligence (AI) is transforming rheumatology research, with a myriad of studies aiming to improve diagnosis, prognosis and treatment prediction, while also showing potential capability to optimise the research workflow, improve drug discovery and clinical trials. Machine learning, a key element of discriminative AI, has demonstrated the ability of accurately classifying rheumatic diseases and predicting therapeutic outcomes by using diverse data types, including structured databases, imaging and text. In parallel, generative AI, driven by large language models, is becoming a powerful tool for optimising the research workflow by supporting with content generation, literature review automation and clinical decision support. This review explores the current applications and future potential of both discriminative and generative AI in rheumatology. It also highlights the challenges posed by these technologies, such as ethical concerns and the need for rigorous validation and regulatory oversight. The integration of AI in rheumatology promises substantial advancements but requires a balanced approach to optimise benefits and minimise potential possible downsides.https://rmdopen.bmj.com/content/11/1/e004309.full |
| spellingShingle | Diego Benavent José Miguel Sequí-Sabater Artificial intelligence in rheumatology research: what is it good for? RMD Open |
| title | Artificial intelligence in rheumatology research: what is it good for? |
| title_full | Artificial intelligence in rheumatology research: what is it good for? |
| title_fullStr | Artificial intelligence in rheumatology research: what is it good for? |
| title_full_unstemmed | Artificial intelligence in rheumatology research: what is it good for? |
| title_short | Artificial intelligence in rheumatology research: what is it good for? |
| title_sort | artificial intelligence in rheumatology research what is it good for |
| url | https://rmdopen.bmj.com/content/11/1/e004309.full |
| work_keys_str_mv | AT diegobenavent artificialintelligenceinrheumatologyresearchwhatisitgoodfor AT josemiguelsequisabater artificialintelligenceinrheumatologyresearchwhatisitgoodfor |