Improving reliability and accuracy of structured data extraction using a consensus large-language model approach-a use case description in multiple sclerosis.
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| Title: | Improving reliability and accuracy of structured data extraction using a consensus large-language model approach-a use case description in multiple sclerosis. |
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| Authors: | Poser PL; Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany., Klimas R; Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany., Luerweg J; Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany., Reuter E; Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany., Hanefeld C; Department of Internal Medicine, Katholisches Klinikum Bochum, Ruhr-University Bochum, Bochum, Germany., Gold R; Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany., Salmen A; Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany., Motte J; Department of Neurology, St. Josef-Hospital, Ruhr-University Bochum, Bochum, Germany. |
| Source: | Frontiers in artificial intelligence [Front Artif Intell] 2026 Feb 13; Vol. 9, pp. 1658575. Date of Electronic Publication: 2026 Feb 13 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101770551 Publication Model: eCollection Cited Medium: Internet ISSN: 2624-8212 (Electronic) Linking ISSN: 26248212 NLM ISO Abbreviation: Front Artif Intell Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 2624-8212 |
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| DOI: | 10.3389/frai.2026.1658575 |
