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Fine-tuned large language model for classifying CT-guided interventional radiology reports
0
Zitationen
6
Autoren
2025
Jahr
Abstract
≤0.012). The model classified reports within a 49.8-53.5-fold shorter time compared to readers.ConclusionThe fine-tuned large language model classified CT-guided interventional radiology reports into four categories demonstrating high accuracy within a remarkably short time.
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