Evaluating Large Language Models for Automated Reporting and Data Systems Categorization: Cross-Sectional Study
BackgroundLarge language models show promise for improving radiology workflows, but their performance on structured radiological tasks such as Reporting and Data Systems (RADS) categorization remains unexplored. ObjectiveThis study aims to evaluate 3 large languag...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2024-07-01
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| Series: | JMIR Medical Informatics |
| Online Access: | https://medinform.jmir.org/2024/1/e55799 |