Automated classification of brain MRI reports using fine-tuned large language models.
Purpose: This study aimed to investigate the efficacy of fine-tuned large language models (LLM) in classifying brain MRI reports into pretreatment, posttreatment, and nontumor cases. Methods: This retrospective study included 759, 284, and 164 brain MRI reports for training, validation, and test dat...
| Publicado en: | Neuroradiology Vol. 66; no. 12; pp. 2177 - 2184 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |